tag:blogger.com,1999:blog-37160263120897651862024-02-08T18:39:04.371+13:00Data Mining with WekaMOOCs from the home of Weka: University of Waikato, New ZealandWekaMOOChttp://www.blogger.com/profile/16466481278906922176noreply@blogger.comBlogger70125tag:blogger.com,1999:blog-3716026312089765186.post-30239055601053500692017-11-07T11:25:00.000+13:002017-11-07T11:25:30.498+13:00Advanced Data Mining with Weka on FutureLearn<span quot="" sans-serif="" span="" style="font-family: "verdana" , sans-serif;" verdana="">A new session of <em>Advanced</em> <em>Data Mining with Weka</em> starts on 13 November 2017 on the <em>FutureLearn</em> platform:</span><br />
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<span quot="" sans-serif="" span="" style="font-family: "verdana" , sans-serif;" verdana=""><a href="https://www.futurelearn.com/courses/advanced-data-mining-with-weka/">https://www.futurelearn.com/courses/advanced-data-mining-with-weka/</a></span><br />
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<span quot="" sans-serif="" span="" style="font-family: "verdana" , sans-serif;" verdana=""></span>WekaMOOChttp://www.blogger.com/profile/16466481278906922176noreply@blogger.com1Hamilton, New Zealand-37.7870012 175.27925300000004-37.987814199999995 174.95652950000004 -37.5861882 175.60197650000003tag:blogger.com,1999:blog-3716026312089765186.post-60475966261102514842017-10-06T14:50:00.000+13:002017-10-06T14:53:06.641+13:00Data Mining with Weka on FutureLearn<span quot="" sans-serif="" span="" style="font-family: "verdana" , sans-serif;" verdana="">A new session of <em>Data Mining with Weka</em> starts on 9 October 2017 on the <em>FutureLearn</em> platform:</span><br />
<span quot="" sans-serif="" span="" style="font-family: "verdana" , sans-serif;" verdana=""><br /><a href="https://www.futurelearn.com/courses/data-mining-with-weka/" rel="nofollow" target="_blank"><span span="" style="font-family: "verdana" , sans-serif;"><span style="color: #1155cc;">https://www.futurelearn.com/<wbr></wbr></span><span style="color: #1155cc;">courses/data-mining-with-weka/</span></span></a></span><br />
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WekaMOOChttp://www.blogger.com/profile/16466481278906922176noreply@blogger.com0Hamilton, New Zealand-37.7870012 175.27925300000004-37.987814199999995 174.95652950000004 -37.5861882 175.60197650000003tag:blogger.com,1999:blog-3716026312089765186.post-59519030191378628702017-04-28T10:47:00.001+12:002017-04-28T10:47:31.718+12:00More Data Mining with Weka on FutureLearn<span quot="" sans-serif="" span="" style="font-family: "verdana" , sans-serif;" verdana="">A new session of <em>More</em> <em>Data Mining with Weka</em> starts on 8 May 2017 on the <em>FutureLearn</em> platform:</span><br />
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<span quot="" sans-serif="" span="" style="font-family: "verdana" , sans-serif;" verdana=""><a href="https://www.futurelearn.com/courses/more-data-mining-with-weka">https://www.futurelearn.com/courses/more-data-mining-with-weka</a></span><br />
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<span quot="" sans-serif="" span="" style="font-family: "verdana" , sans-serif;" verdana="">Trailer:</span><br />
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<iframe allowfullscreen="" frameborder="0" height="315" src="https://www.youtube.com/embed/bfj99-0tDak" width="560"></iframe><br /></div>
WekaMOOChttp://www.blogger.com/profile/16466481278906922176noreply@blogger.com0Hamilton, New Zealand-37.7870012 175.27925300000004-37.987814199999995 174.95652950000004 -37.5861882 175.60197650000003tag:blogger.com,1999:blog-3716026312089765186.post-77516566242834229912017-02-16T13:13:00.003+13:002017-02-16T13:17:43.923+13:00Data Mining with Weka on FutureLearn<br />
<span quot="" sans-serif="" span="" style="font-family: "verdana" , sans-serif;" verdana="">A new session of <em>Data Mining with Weka</em> starts on 6 March 2017 on the <em>FutureLearn</em> platform :</span><br />
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<a href="https://www.futurelearn.com/courses/data-mining-with-weka/" rel="nofollow" target="_blank"><span span="" style="font-family: "verdana" , sans-serif;"><span style="color: #1155cc;">https://www.futurelearn.com/<wbr></wbr></span><span style="color: #1155cc;">courses/data-mining-with-weka/</span></span></a></span><br />
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<span style="font-family: "verdana" , sans-serif;">Trailer:</span></div>
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<iframe allowfullscreen="" frameborder="0" height="315" src="https://www.youtube.com/embed/TypZZteyiqk" width="560"></iframe><br /></div>
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WekaMOOChttp://www.blogger.com/profile/16466481278906922176noreply@blogger.com0Hamilton, New Zealand-37.7870012 175.27925300000004-37.987814199999995 174.95652950000004 -37.5861882 175.60197650000003tag:blogger.com,1999:blog-3716026312089765186.post-81425296252931194552016-07-04T14:28:00.000+12:002016-07-04T14:28:14.794+12:00All three Weka MOOCs available as self-paced courses<span style="font-family: "verdana" , sans-serif;">All three MOOCs ("Data Mining with Weka", "More Data Mining with Weka" and "Advanced Data Mining with Weka") are now available on a</span><span style="font-family: verdana, sans-serif;"> self-paced basis. All the material, activities and assessments are available from now until 24th September 2016 at:</span>
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<span style="white-space: pre-wrap;"><span style="font-family: "verdana" , sans-serif;"> </span></span><a href="https://weka.waikato.ac.nz/" target="_blank"><span style="color: #0066cc; font-family: "verdana" , sans-serif;"><u>https://weka.waikato.ac.nz/</u></span></a><u><br /></u></div>
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<span style="font-family: "verdana" , sans-serif;">We are <em>not</em>
providing any tutorial, help or assistance during this session. </span></div>
<span style="font-family: "verdana" , sans-serif;">Also, we
will <em>not</em> produce any Statements of Completion until after 24th September.</span><br />
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<span style="font-family: "verdana";">Ian & the WekaMOOC team</span>WekaMOOChttp://www.blogger.com/profile/16466481278906922176noreply@blogger.com0Hamilton, New Zealand-37.7870012 175.27925300000004-37.987814199999995 174.95652950000004 -37.5861882 175.60197650000003tag:blogger.com,1999:blog-3716026312089765186.post-21228282920538908822016-05-24T09:05:00.000+12:002016-05-24T09:05:13.221+12:00Class 5 is now available<br />
<span style="font-family: "verdana" , sans-serif;">The lessons for Class 5, the last in our course, are now available on the course website:</span><br />
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<a href="https://weka.waikato.ac.nz/advanceddataminingwithweka" target="_blank"><span style="font-family: "verdana" , sans-serif;">https://weka.waikato.ac.nz/advanceddataminingwithweka</span></a><br />
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Class 5 is about scripting. <span style="font-family: "verdana" , sans-serif;">People who use Weka a lot always want to be able to <span style="font-family: "verdana" , sans-serif;">write scripts to do <span style="font-family: "verdana" , sans-serif;">the work</span>, instead of all this clicking. Well, you can!</span></span> You can</span><br />
<ul>
<li><span style="font-family: "verdana" , sans-serif;"><span style="font-family: "verdana" , sans-serif;">write</span> Weka scripts in Python from within the Explorer interface</span></li>
<li><span style="font-family: "verdana" , sans-serif;"><span style="font-family: "verdana" , sans-serif;">write Weka scripts in Groo<span style="font-family: "verdana" , sans-serif;">vy, a Java-based scripting language, in the same way</span></span></span></li>
<li><span style="font-family: "verdana" , sans-serif;"><span style="font-family: "verdana" , sans-serif;"><span style="font-family: "verdana" , sans-serif;">set up the Python Weka wrapper so that you can access the <span style="font-family: "verdana" , sans-serif;">Weka code from within your own Python <span style="font-family: "verdana" , sans-serif;">installation.</span></span> </span></span> </span></li>
</ul>
<span style="font-family: "verdana" , sans-serif;">The third option requires to have your own Python installation, which is simple on Linux b<span style="font-family: "verdana" , sans-serif;">ut not <span style="font-family: "verdana" , sans-serif;">so simple on other operating systems, and that's up to you -- we do<span style="font-family: "verdana" , sans-serif;">n'</span>t show you how to do it. But the other two options are immediately available from within Weka when you install the corresponding packages</span></span>. It's easy!<br /><br /> The post-course
assessment is also now open. The videos, slides and transcripts will
remain available at YouTube, and the "Materials" site:</span></div>
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<a href="http://www.cs.waikato.ac.nz/ml/weka/mooc/advanceddataminingwithweka/"><span style="font-family: "verdana" , sans-serif;">http://www.cs.waikato.ac.nz/ml/weka/mooc/advanceddataminingwithweka/</span></a></div>
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<span style="font-family: "verdana" , sans-serif;">There is also a post-course survey for your opinions of the MOOC.<br /><br />
We <span style="font-family: "verdana" , sans-serif;">will</span> run all three of these courses, “Data Mining with Weka,” “More Data Mining with Weka,” and </span><span style="font-family: "verdana" , sans-serif;"><span style="font-family: "verdana" , sans-serif;">“Advanced Data Mining with Weka,” </span>again, but are not yet sure when </span><br />
<span style="font-family: "verdana" , sans-serif;"><br /> cheers, and enjoy the remainder of the course!</span><br />
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<span style="font-family: "verdana" , sans-serif;">Ian</span><br />
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<span style="font-family: "verdana" , sans-serif;"><a href="http://weka.waikato.ac.nz/">http://weka.waikato.ac.nz/</a><br /><a href="https://twitter.com/WekaMOOC">https://twitter.com/WekaMOOC</a><br /><a href="http://wekamooc.blogspot.co.nz/">http://wekamooc.blogspot.co.nz/</a></span>WekaMOOChttp://www.blogger.com/profile/16466481278906922176noreply@blogger.com0tag:blogger.com,1999:blog-3716026312089765186.post-58272071334117295422016-05-16T09:57:00.000+12:002016-05-16T09:57:54.491+12:00Class 4 is now available<div>
<span style="font-family: "verdana" , sans-serif;">The six lessons for Class 4 are now available on the course website:</span></div>
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<span style="font-family: "verdana";"> <a href="https://weka.waikato.ac.nz/advanceddataminingwithweka">https://weka.waikato.ac.nz/advanceddataminingwithweka</a></span></div>
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<span style="font-family: "verdana" , sans-serif;">In
this class we'll learn about distributed processing with Apache Spark (and also with Hadoop). We're assuming that you don't necessarily have access to a cluster computer, but you can still use the framework on a single machi<span style="font-family: "verdana" , sans-serif;">ne, and the Activities will show you how to get started with this.</span></span><br />
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<span style="font-family: "verdana" , sans-serif;"><span style="font-family: "verdana" , sans-serif;">The Application lesson 4.6 <span style="font-family: "verdana" , sans-serif;">shows you how to use Weka for image processing, by creating all sorts of different feature sets for your images using the imageFilter pac<span style="font-family: "verdana" , sans-serif;">kage</span>.</span></span></span><br />
<span style="font-family: "verdana" , sans-serif;"><span style="font-family: "verdana" , sans-serif;"><span style="font-family: "verdana" , sans-serif;"> </span></span></span> </div>
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<span style="font-family: "verdana" , sans-serif;">Next week is the last. Pretty soon you will be a<span style="font-family: "verdana" , sans-serif;"> certified</span> advanced expert in data mining and the use of Weka! Keep at it!</span> </div>
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<span style="font-family: "verdana" , sans-serif;">cheers</span> </div>
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<span style="font-family: "verdana" , sans-serif;">Ian</span> <br />
<span style="font-family: "verdana" , sans-serif;"><br /></span>
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<span style="font-family: "verdana" , sans-serif;"><a href="http://weka.waikato.ac.nz/" target="_blank">http://weka.waikato.ac.nz/</a></span></div>
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<span style="font-family: "verdana" , sans-serif;"><a href="https://twitter.com/WekaMOOC" target="_blank">https://twitter.com/WekaMOOC</a></span><br />
<a href="http://wekamooc.blogspot.co.nz/" target="_blank"><span style="font-family: "verdana" , sans-serif;">http://wekamooc.blogspot.co.nz/</span></a></div>
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WekaMOOChttp://www.blogger.com/profile/16466481278906922176noreply@blogger.com0Hamilton, New Zealand-37.7870012 175.27925300000004-37.987814199999995 174.95652950000004 -37.5861882 175.60197650000003tag:blogger.com,1999:blog-3716026312089765186.post-15146234851264033912016-05-09T09:13:00.000+12:002016-05-09T09:13:25.485+12:00Class 3 is now available<br />
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<span style="font-family: "verdana" , sans-serif;">The six lessons for Class 3 are now available on the course website:<br /><br /> </span><a href="https://weka.waikato.ac.nz/advanceddataminingwithweka" target="_blank"><span style="font-family: "verdana" , sans-serif;">https://weka.waikato.ac.nz/advanceddataminingwithweka</span></a><br />
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<span style="font-family: "verdana" , sans-serif;">After this week there are 2 weeks to go (classes 4 and 5).<br /><br />The
mid-course assessment is also now available. Do it when you have
finished Class 2 (although it will remain open for the rest of the
course). The final assessment will appear during week 5.</span><br />
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<span style="font-family: "verdana" , sans-serif;">Check your <i>Profile</i> to
ensure that your assessment marks have been recorded correctly. Also,
check that the name in your Profile is the one you want on your <i>Statement of Completion</i>: as we will use that <b>exact text</b> for the Statements. </span><br />
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<span style="font-family: "verdana" , sans-serif;"><span style="font-family: "verdana" , sans-serif;">Our</span> goal is to enable you to learn as much as possible from this course,
and <span style="font-family: "verdana" , sans-serif;">we</span> recognize that doing the assessments may not be a priority for
you. However, our ability to mount follow-up MOOCs will depend on the
success of this one as perceived by my University -- and the number of
people who complete it successfully will be a key metric. Thus I urge
you to do the assessments for my sake, if not your own :-)</span><br />
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<span style="font-family: "verdana" , sans-serif;"></span>
<span style="font-family: "verdana" , sans-serif;">In
this class we'll learn about interfacing to other data mining packages<span style="font-family: "verdana" , sans-serif;">. The first lesson <span style="font-family: "verdana" , sans-serif;">shows <span style="font-family: "verdana" , sans-serif;">you <span style="font-family: "verdana" , sans-serif;">how to access</span></span></span></span> Li<span style="font-family: "verdana" , sans-serif;">b</span>SVM and LibLINEAR, and the remaining ones <span style="font-family: "verdana" , sans-serif;">show you how to access <span style="font-family: "verdana" , sans-serif;">some of the many facilities in</span> the popular R statistical computing package. These <span style="font-family: "verdana" , sans-serif;">increase the scope of Weka enormously!</span></span></span><br />
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<span style="font-family: "verdana" , sans-serif;"><span style="font-family: "verdana" , sans-serif;">The Application lesson <span style="font-family: "verdana" , sans-serif;">3</span>.6 <span style="font-family: "verdana" , sans-serif;">shows
you how to use Weka to analyze functional MRI Neuroimaging data, and in the Activity you will actually do some of this ana<span style="font-family: "verdana" , sans-serif;">lysis!</span></span></span></span><br />
<span style="font-family: "verdana" , sans-serif;"><br />cheers, and keep going!</span></div>
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<span style="font-family: "verdana";">Ian</span><br />
<span style="font-family: "verdana";"><br /></span>
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<a href="http://weka.waikato.ac.nz/" target="_blank"><span style="font-family: "verdana" , sans-serif;">http://weka.waikato.ac.nz/</span></a></div>
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<span style="font-family: "verdana" , sans-serif;"><a href="https://twitter.com/WekaMOOC" target="_blank">https://twitter.com/WekaMOOC</a></span><br />
<a href="http://wekamooc.blogspot.co.nz/" target="_blank"><span style="font-family: "verdana" , sans-serif;">http://wekamooc.blogspot.co.nz/</span></a></div>
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WekaMOOChttp://www.blogger.com/profile/16466481278906922176noreply@blogger.com1Hamilton, New Zealand-37.7870012 175.27925300000004-37.987814199999995 174.95652950000004 -37.5861882 175.60197650000003tag:blogger.com,1999:blog-3716026312089765186.post-69661478700714168822016-05-02T04:28:00.000+12:002016-05-02T09:20:22.031+12:00Class 2 is now available<br />
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<span style="font-family: "verdana" , sans-serif;">The six lessons for Class 2 are now available on the course website:</span><br />
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<span style="font-family: "verdana" , sans-serif;"><a href="https://weka.waikato.ac.nz/advanceddataminingwithweka">https://weka.waikato.ac.nz/advanceddataminingwithweka</a></span><br />
<br />
<span style="font-family: "verdana" , sans-serif;">The mid-course assessment, <span style="font-family: "verdana" , sans-serif;">which covers the material up to and including</span> Class 2, is also available. </span><span style="font-family: "verdana" , sans-serif;">Following that, there are 3 weeks to go (classes 3, 4 and 5). </span><br />
<span style="font-family: "verdana" , sans-serif;"><span style="font-family: "verdana" , sans-serif;">The mid-course assessment will remain open for the rest of the course; the final assessment will appear during week 5.</span></span><br />
<span style="font-family: "verdana" , sans-serif;"><span style="font-family: "verdana" , sans-serif;"> </span><br />The
activities are a crucial part of the course: they're where most people
will do their actual learning! However, they do not form part of the
assessment, so don't be scared to get wrong answers. Also, some of the
activities are pretty difficult and time-consuming. You don't
necessarily need to actually complete them if you find that difficult on
your computer, but you do need to understand what it is that you are
supposed to do -- and why.<br /><br />"<span style="font-family: "verdana" , sans-serif;">Advanced</span> Data Mining with Weka" has been
designed so that participants at many different levels can learn as
much as possible – and complete the course successfully. <span style="font-family: "verdana" , sans-serif;">Al</span>l you must do to <span style="font-family: "verdana" , sans-serif;">get the Statement of Completion </span>are the mid-course and
final assessments -- which you can try as often as you like. </span><br />
<br />
<span style="font-family: "verdana" , sans-serif;">This class is <span style="font-family: "verdana" , sans-serif;">about data stream mining, <span style="font-family: "verdana" , sans-serif;">and <i>MOA</i>, Weka's big sister. <span style="font-family: "verdana" , sans-serif;">MOA's algorithms are stream-oriented: they don't keep the dataset in main memory. You can access the algorithms from the Weka interface. But an<span style="font-family: "verdana" , sans-serif;"> important aspect of stream-oriented data mining is evaluation: how do you evaluate a learning algorithm that runs continuously<span style="font-family: "verdana" , sans-serif;"> on a data stream (which may, in addition, be<span style="font-family: "verdana" , sans-serif;"> evolving)? <span style="font-family: "verdana" , sans-serif;">That is what the MOA interface is for, and y<span style="font-family: "verdana" , sans-serif;">ou will learn about that too.</span></span></span></span></span></span></span></span></span><br />
<br />
<span style="font-family: "verdana" , sans-serif;"><span style="font-family: "verdana" , sans-serif;"><span style="font-family: "verdana" , sans-serif;"><span style="font-family: "verdana" , sans-serif;"><span style="font-family: "verdana" , sans-serif;"><span style="font-family: "verdana" , sans-serif;"><span style="font-family: "verdana" , sans-serif;"><span style="font-family: "verdana" , sans-serif;"><span style="font-family: "verdana" , sans-serif;">The Application in Lesson 2.6 is about a<span style="font-family: "verdana" , sans-serif;">pplying</span> Weka to a problem in bioinformatics, <span style="font-family: "verdana" , sans-serif;">which is a very p<span style="font-family: "verdana" , sans-serif;">opular -- and important! -- area for data mining.</span></span></span></span></span></span></span></span></span></span> </span></div>
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<span style="font-family: "verdana" , sans-serif;"><br />cheers, and keep going!</span><br />
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</div>
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<span style="font-family: "verdana" , sans-serif;">Ian</span><br />
<span style="font-family: "verdana" , sans-serif;"><br /></span>
<br />
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<a href="http://weka.waikato.ac.nz/" target="_blank"><span style="font-family: "verdana" , sans-serif;">http://weka.waikato.ac.nz/</span></a></div>
<div>
<span style="font-family: "verdana" , sans-serif;"><a href="https://twitter.com/WekaMOOC" target="_blank">https://twitter.com/WekaMOOC</a></span><br />
<a href="http://wekamooc.blogspot.co.nz/" target="_blank"><span style="font-family: "verdana" , sans-serif;">http://wekamooc.blogspot.co.nz/</span></a></div>
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<br />WekaMOOChttp://www.blogger.com/profile/16466481278906922176noreply@blogger.com1Hamilton, New Zealand-37.7870012 175.27925300000004-37.987814199999995 174.95652950000004 -37.5861882 175.60197650000003tag:blogger.com,1999:blog-3716026312089765186.post-55091574481018909182016-04-25T05:10:00.000+12:002016-04-25T05:10:01.333+12:00Welcome to "Advanced Data Mining with Weka"<br />
<span style="font-family: "verdana" , sans-serif;">Welcome to the course "<span style="font-family: "verdana" , sans-serif;">Advanced</span> Data Mining with Weka". The six lessons for Class 1 are now available on the course website:</span><br />
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<span style="font-family: "verdana" , sans-serif;"> </span> </div>
<div>
<span style="font-family: "verdana" , sans-serif;"><a href="https://weka.waikato.ac.nz/advanceddataminingwithweka/">https://weka.waikato.ac.nz/advanceddataminingwithweka/</a></span></div>
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</div>
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<span style="font-family: "verdana" , sans-serif;"><br /></span>
<span style="font-family: "verdana" , sans-serif;">We
will release classes 2, 3, 4, and 5 on Mondays
(NZ time) in the upcoming weeks, and send reminder
announcements.</span></div>
<div>
<span style="font-family: "verdana" , sans-serif;"> </span> </div>
<div>
<div>
<span style="font-family: "verdana" , sans-serif;"><span style="font-family: "verdana" , sans-serif;"><span style="font-family: "verdana" , sans-serif;">Weka 3.8 has just been released and y</span>ou will be using it<span style="font-family: "verdana" , sans-serif;"> </span>throughout this course, so please
download it and install it on your computer. It’s available at both:</span></span><br />
<br />
<span style="font-family: "verdana" , sans-serif;"><a href="http://www.cs.waikato.ac.nz/ml/weka/downloading.html" style="font-family: verdana, sans-serif;" target="_blank">http://www.cs.waikato.ac.<wbr></wbr>nz/ml/weka/downloading.html</a></span><span style="font-family: "verdana" , sans-serif;"> </span></div>
<span style="font-family: "verdana" , sans-serif;">
</span>
<br />
<div>
<span style="font-family: "verdana" , sans-serif;"><span style="font-family: "verdana" , sans-serif;"><br /></span>
<span style="font-family: "verdana" , sans-serif;"><wbr></wbr>and </span></span><br />
<span style="font-family: "verdana" , sans-serif;"><span style="font-family: "verdana" , sans-serif;"><br /></span></span></div>
<span style="font-family: "verdana" , sans-serif;">
</span>
<br />
<div>
<span style="font-family: "verdana" , sans-serif;"><a href="http://sourceforge.net/projects/weka/files/weka-3-8/" target="_blank"><span style="font-family: "verdana" , sans-serif;">http://sourceforge.net/projects/weka/files/weka-3-8/</span></a></span></div>
<span style="font-family: "verdana" , sans-serif;">
</span><br />
<span style="font-family: "verdana" , sans-serif;">Th<span style="font-family: "verdana" , sans-serif;">is</span> course includes the following resources:</span></div>
<ul>
<li><span style="font-family: "verdana" , sans-serif;">videos, one per lesson, on YouTube</span></li>
<li> <span style="font-family: "verdana" , sans-serif;">the videos include captions<span style="font-family: "verdana" , sans-serif;">,</span> which can be turned on in YouTube</span></li>
<li> <span style="font-family: "verdana" , sans-serif;">we recommend viewing in HD format, again a YouTube control</span></li>
<li> <span style="font-family: "verdana" , sans-serif;">slides used in the videos (PDF format)</span></li>
<li> <span style="font-family: "verdana" , sans-serif;">text files containing transcripts of the videos</span></li>
<li> <span style="font-family: "verdana" , sans-serif;">activities that follow each lesson</span></li>
<li><span style="font-family: "verdana" , sans-serif;">mid-course assessment (opens <span style="font-family: "verdana" , sans-serif;">2 May</span>, with the Week 2 content) </span></li>
<li> <span style="font-family: "verdana" , sans-serif;">final assessment (opens 2<span style="font-family: "verdana" , sans-serif;">3 May</span>, with the Week 5 content)</span></li>
<li> <span style="font-family: "verdana" , sans-serif;">announcement forum, blog, twitter feed (available from the course website)</span></li>
<li> <span style="font-family: "verdana" , sans-serif;">discussion forum.</span></li>
</ul>
<div>
<br />
<span style="font-family: "verdana" , sans-serif;">Some notes:</span></div>
<ul>
<li><span style="font-family: "verdana" , sans-serif;">work through the videos and activities at your own pace, in your own time</span></li>
<li><span style="font-family: "verdana" , sans-serif;">a new class appears every week; old classes will remain available until the course closes</span></li>
<li><span style="font-family: "verdana" , sans-serif;">in theory, you could leave all your learning to the last week (but we don't recommend this!)</span></li>
<li><span style="font-family: "verdana" , sans-serif;">please
subscribe to the announcement forum if you haven't already done
so: this is the best way to stay up-to-date with the course (click
on Membership and email settings to subscribe)</span></li>
<li><span style="font-family: "verdana" , sans-serif;">only the mid-course and final assessments count towards the <i>Statement of Completion</i></span></li>
<li><span style="font-family: "verdana";">please check your name and marks in the <i>My Profile</i> section of the website (this is the data we will use to produce your <i>Statement of Completion</i>)</span></li>
<li><span style="font-family: "verdana" , sans-serif;">during the videos, it may help to follow with Weka on your own computer</span></li>
<li><span style="font-family: "verdana" , sans-serif;">the course should take 3–<span style="font-family: "verdana" , sans-serif;">6</span> hours/week</span></li>
<li><span style="font-family: "verdana" , sans-serif;">a detailed syllabus is available: </span></li>
</ul>
<span style="font-family: "verdana" , sans-serif;"> <a href="https://weka.waikato.ac.nz/advanceddataminingwithweka/assets/pdf/syllabus.pdf">https://weka.waikato.ac.nz/advanceddataminingwithweka/assets/pdf/syllabus.pdf</a></span><br />
<div>
<span style="font-family: "verdana" , sans-serif;"><br /></span></div>
<span style="font-family: "verdana" , sans-serif;">Please help us by filling out the pre-course survey if you have not already done so.</span><br />
<div>
<br />
<div>
</div>
</div>
<div>
<span style="font-family: "verdana" , sans-serif;">By
the time you have finished this course you will be an advanced expert user of
Weka and very knowledgeable about data mining generally. But it will
take some effort, and motivation.</span><br />
<br />
<div>
</div>
<div>
<span style="font-family: "verdana" , sans-serif;">cheers, and good luck</span></div>
<div>
<span style="font-family: "verdana";">Ian</span><br />
<span style="font-family: "verdana";"><br /></span></div>
<div>
</div>
<div>
</div>
<div>
<div>
<a href="http://weka.waikato.ac.nz/" target="_blank"><span style="font-family: "verdana" , sans-serif;">http://weka.waikato.ac.nz/</span></a></div>
<div>
<a href="https://twitter.com/WekaMOOC" target="_blank"><span style="font-family: "verdana" , sans-serif;">https://twitter.com/WekaMOOC</span></a></div>
<div>
<a href="http://wekamooc.blogspot.co.nz/" target="_blank"><span style="font-family: "verdana" , sans-serif;">http://wekamooc.blogspot.co.nz/</span></a></div>
</div>
</div>
WekaMOOChttp://www.blogger.com/profile/16466481278906922176noreply@blogger.com2tag:blogger.com,1999:blog-3716026312089765186.post-22238972274499168942016-04-06T12:06:00.000+12:002016-04-06T12:06:32.384+12:00"Advanced Data Mining with Weka" open for enrolment<div>
<br /></div>
<span style="font-family: "verdana" , sans-serif;"><i>Advanced Data Mining with Weka</i> is now open for enrolment, and <span style="font-family: "verdana" , sans-serif;">is scheduled to</span> start on 25 April.</span><br />
<span style="font-family: "verdana" , sans-serif;"><span style="font-family: "verdana" , sans-serif;"><br /></span>
<span style="font-family: "verdana" , sans-serif;"><span style="font-family: "verdana" , sans-serif;">Like the other two</span> <i>Weka </i>MOOCs, this draws on the resources of the <a href="http://www.cs.waikato.ac.nz/~ml/" target="_blank">Machine Learning Group</a> in the Department of Computer Science at the University of Waikato<span style="font-family: "verdana" , sans-serif;">. It covers</span>:</span></span><br />
<ul>
<li><span style="font-family: "verdana" , sans-serif;">time series forecasting<span style="font-family: "verdana" , sans-serif;">; </span>data stream mining</span></li>
<li><span style="font-family: "verdana" , sans-serif;">inter-operability with <i>R</i><span style="font-family: "verdana" , sans-serif;">; scripting Weka in</span> <i>Python </i>and<i> Groovy</i></span></li>
<li><span style="font-family: "verdana" , sans-serif;">distributed processing with <i>Apache</i> <i>S</i><span style="font-family: "verdana" , sans-serif;"><i>PAR</i><span style="font-family: "verdana" , sans-serif;"><i>K</i> and <i>Hadoop</i></span></span></span></li>
<li><span style="font-family: "verdana" , sans-serif;">application case studies</span></li>
</ul>
<span style="font-family: "verdana" , sans-serif;">A <a href="https://weka.waikato.ac.nz/advanceddataminingwithweka/assets/pdf/syllabus.pdf" target="_blank">detailed syllabus</a> is available.</span><br />
<span style="font-family: "verdana" , sans-serif;"><br /></span>
<span style="font-family: "verdana" , sans-serif;">This is advanced stuff, and you need to be an experienced Weka user be</span><span style="font-family: "verdana" , sans-serif;">fore starting. </span><span style="font-family: "verdana" , sans-serif;">The <span style="font-family: "verdana" , sans-serif;">format is the same as for the earlier courses, and a</span>gain you will do most of your learning in the <i>Activities</i>, although whether you get a <i>Statement of Completion</i><span style="font-family: "verdana" , sans-serif;"> depends</span> solely on your <span style="font-family: "verdana" , sans-serif;">how well you do</span> in the mid-class and end-of-class assessments.</span><br />
<div>
<span style="font-family: "verdana" , sans-serif;"><br /></span><span style="font-family: "verdana" , sans-serif;">There’s
more information about the course in the trailer video: it’s
informative, entertaining, and only about <span style="font-family: "verdana" , sans-serif;">4</span> minutes long. </span></div>
<span style="font-family: "verdana" , sans-serif;"><br /></span>
<br />
<iframe allowfullscreen="" frameborder="0" height="315" src="https://www.youtube.com/embed/Lhw_XcGCTFg" width="560"></iframe>
<span style="font-family: "verdana" , sans-serif;"><br /></span>
<span style="font-family: "verdana" , sans-serif;"><br /></span>
<br />
<span style="font-family: "verdana";"><span style="font-family: "verdana" , sans-serif;">By the time you have finished this course you will be an <i><span style="font-family: "verdana" , sans-serif;">advanced e</span>xpert</i> on the use of <i>Weka</i>.</span> <span style="font-family: "verdana";">Enrol at:</span></span><br />
<br />
<span style="font-family: "verdana" , sans-serif;"><a href="https://weka.waikato.ac.nz/">https://weka.waikato.ac.nz/</a></span><br />
<span style="font-family: "verdana" , sans-serif;"><br /></span><span style="font-family: "verdana" , sans-serif;">cheers</span><br />
<span style="font-family: "verdana" , sans-serif;">Ian & the Weka Team</span><br />
<br />
<br />
<br />
<div>
<a href="http://weka.waikato.ac.nz/" target="_blank"><span style="font-family: "verdana" , sans-serif;">http://weka.waikato.ac.nz/</span></a></div>
<div>
<a href="https://twitter.com/WekaMOOC" target="_blank"><span style="font-family: "verdana" , sans-serif;">https://twitter.com/WekaMOOC</span></a></div>
<div>
<a href="http://wekamooc.blogspot.co.nz/" target="_blank"><span style="font-family: "verdana" , sans-serif;">http://wekamooc.blogspot.co.nz/</span></a></div>
<br />
<br />
<br />
<br />
<br />WekaMOOChttp://www.blogger.com/profile/16466481278906922176noreply@blogger.com1Hamilton, New Zealand-37.7870012 175.27925300000004-37.987814199999995 174.95652950000004 -37.5861882 175.60197650000003tag:blogger.com,1999:blog-3716026312089765186.post-49701862698636599442016-03-03T16:53:00.001+13:002016-03-03T16:53:34.087+13:00Two Self-paced Courses<span style="font-family: "verdana" , sans-serif;">Both "Data Mining with Weka" and "More Data Mining with Weka" are now available on a</span><span style="font-family: verdana, sans-serif;"> self-paced basis. All the material, activities and assessments are available now until 15th April 2016 at:</span><br />
<br />
<br />
<div>
<span style="white-space: pre-wrap;"><span style="font-family: "verdana" , sans-serif;"> </span></span><a href="https://weka.waikato.ac.nz/" target="_blank"><span style="color: #0066cc; font-family: "verdana" , sans-serif;"><u>https://weka.waikato.ac.nz/</u></span></a><u><br /></u></div>
<br />
<div>
<br /></div>
<div>
<span style="font-family: "verdana" , sans-serif;">We are not providing any tutorial, help or assistance during this session. Also, we will not generate any Statements of Completion until after 15th April.</span></div>
<div>
<br /></div>
<div>
</div>
<div>
<span style="font-family: "verdana";"><br /></span></div>
<div>
<span style="font-family: "verdana";">Ian & the WekaMOOC team</span></div>
<br />WekaMOOChttp://www.blogger.com/profile/16466481278906922176noreply@blogger.com0Hamilton, New Zealand-37.7870012 175.27925300000004-37.987814199999995 174.95652950000004 -37.5861882 175.60197650000003tag:blogger.com,1999:blog-3716026312089765186.post-18192354155608291402015-07-13T10:23:00.003+12:002015-07-13T10:23:57.419+12:00'Data Mining with Weka' available as self-paced course<span style="font-family: Verdana, sans-serif;">Welcome to "Data Mining with Weka". </span><br />
<span style="font-family: Verdana, sans-serif;"><br /></span><br />
<span style="font-family: Verdana, sans-serif;">Unlike previous sessions the course is now being offered on a self-paced basis. All the material, activities and assessments are available now until 23rd October 2015 at:</span><br />
<br /><br />
<div>
<span style="white-space: pre-wrap;"><span style="font-family: Verdana, sans-serif;"> </span></span><a href="https://weka.waikato.ac.nz/" target="_blank"><span style="color: #0066cc; font-family: Verdana, sans-serif;"><u>https://weka.waikato.ac.nz/</u></span></a><u><br /></u></div>
<br />
<div>
<div>
<br /></div>
</div>
<div>
<span style="font-family: Verdana, sans-serif;">We are not providing any tutorial, help or assistance during this session. Also, we will not generate any Statements of Completion until after 23rd October.</span></div>
<div>
<span style="font-family: Verdana, sans-serif;"><br /></span></div>
<div>
<span style="font-family: Verdana, sans-serif;"><br /></span></div>
<div>
<span style="font-family: Verdana, sans-serif;">The course includes the following resources:</span></div>
<br />
<ul>
<li><span style="font-family: Verdana, sans-serif;"><span style="white-space: pre-wrap;"> </span>the </span><a href="http://www.cs.waikato.ac.nz/ml/weka/" target="_blank"><span style="color: #0066cc; font-family: Verdana, sans-serif;"><u>Weka software</u></span></a><span style="font-family: Verdana, sans-serif;">; Lesson 1.2 gives downloading instructions (we are using version 3.6.11)</span></li>
<li><span style="font-family: Verdana, sans-serif;"><span style="white-space: pre-wrap;"> </span>videos, one per lesson, on </span><a href="https://www.youtube.com/user/WekaMOOC/videos" target="_blank"><span style="color: #0066cc; font-family: Verdana, sans-serif;"><u>YouTube</u></span></a></li>
<li><span style="font-family: Verdana, sans-serif;"><span style="white-space: pre-wrap;"> </span>the videos include captions (English and Chinese), which can be turned on in YouTube</span></li>
<li><span style="font-family: Verdana, sans-serif;"><span style="white-space: pre-wrap;"> </span>slides used in the videos (PDF format)</span></li>
<li><span style="font-family: Verdana, sans-serif;"><span style="white-space: pre-wrap;"> </span>text files containing transcripts of the videos</span></li>
<li><span style="font-family: Verdana, sans-serif;"> activities that follow each lesson</span></li>
<li><span style="font-family: Verdana, sans-serif;"> access to selected excerpts from </span><span style="font-family: Verdana, sans-serif;">Data Mining (3rd Edition) - </span><span style="font-family: Verdana, sans-serif;">plus you can buy a discounted copy from the publisher</span></li>
<li><span style="font-family: Verdana, sans-serif; white-space: pre-wrap;"> </span><a href="https://weka.waikato.ac.nz/dataminingwithweka/announcements_forum" target="_blank"><span style="color: #0066cc; font-family: Verdana, sans-serif;"><u>announcement forum</u></span></a><span style="font-family: Verdana, sans-serif;">, </span><a href="http://wekamooc.blogspot.co.nz/" target="_blank"><span style="color: #0066cc; font-family: Verdana, sans-serif;"><u>blog</u></span></a><span style="font-family: Verdana, sans-serif;">, </span><a href="https://twitter.com/wekamooc" target="_blank"><span style="color: #0066cc; font-family: Verdana, sans-serif;"><u>twitter feed</u></span></a><span style="font-family: Verdana, sans-serif;"> (available from the course website)</span></li>
<span style="font-family: Verdana, sans-serif;"></span></ul>
<br />
<br />
<div>
<span style="font-family: Verdana, sans-serif;"><span style="white-space: pre-wrap;"> </span>for Chinese participants:</span></div>
<br />
<ul>
<li><span style="font-family: Verdana, sans-serif;"><span style="white-space: pre-wrap;"> </span>videos on </span><a href="http://i.youku.com/u/id_UMTI4NTE5OTA0NA==" target="_blank"><span style="color: #0066cc; font-family: Verdana, sans-serif;"><u>Youku</u></span></a></li>
<ul>
<li><span style="font-family: Verdana, sans-serif;">one version with captions in Chinese (another with English captions is available on our Youku channel)</span><span style="font-family: Verdana, sans-serif;"></span></li>
<span style="font-family: Verdana, sans-serif;"></span></ul>
<span style="font-family: Verdana, sans-serif;"></span></ul>
<span style="font-family: Verdana, sans-serif;"></span><br />
<span style="font-family: Verdana, sans-serif;">Some notes for participants:</span><br />
<br />
<ul>
<li><span style="font-family: Verdana, sans-serif;">work through the videos and activities at your own pace, in your own time</span></li>
<li><span style="font-family: Verdana;">please subscribe to the <a href="https://weka.waikato.ac.nz/dataminingwithweka/announcements_forum" target="_blank"><span style="color: #0066cc; font-family: Verdana, sans-serif;"><u>announcement forum</u></span></a> if you haven't already done so: this is the best way to stay up-to-date with the course (click on <em><a href="https://weka.waikato.ac.nz/dataminingwithweka/announcements_forum" target="_blank"><u><span style="color: #0066cc;">Membership and email settings</span></u></a> </em>to subscribe)</span></li>
<li><span style="font-family: Verdana, sans-serif;">only the mid-course and final assessments count towards the <em>Statement of Completion</em></span></li>
<li><span style="font-family: Verdana, sans-serif;"><span style="white-space: pre-wrap;"> </span>feel free to install Weka in advance, but please ensure that you have version 3.6.11</span></li>
<li><span style="font-family: Verdana, sans-serif;"><span style="white-space: pre-wrap;"> </span>if you already know something about Weka, feel free to skip the first class (or two)</span></li>
<li><span style="font-family: Verdana, sans-serif;"><span style="white-space: pre-wrap;"> </span>during the videos, it may help to follow with Weka on your own computer ("click along with Ian")</span></li>
<li><span style="font-family: Verdana, sans-serif;"><span style="white-space: pre-wrap;"> </span>the course should take 2–3 hours/week (3–4 hours if you do the optional reading)</span></li>
<li><span style="font-family: Verdana;">you can download the materials from <a href="http://www.cs.waikato.ac.nz/ml/weka/mooc/dataminingwithweka/" target="_blank"><span style="color: #88aaee;">http://www.cs.waikato.ac.nz/<wbr></wbr></span><span style="color: #88aaee;">ml/weka/mooc/<wbr></wbr></span><span style="color: #88aaee;">dataminingwithweka/</span></a></span></li>
</ul>
<br />
<div>
<span style="font-family: Verdana, sans-serif;">Please help us by filling out the </span><span style="color: #88aaee; font-family: Verdana, sans-serif;"><a href="https://weka.waikato.ac.nz/dataminingwithweka/assessment?name=Pre" target="_blank"><u>pre-course survey</u></a></span><span style="font-family: Verdana, sans-serif;"> if you have not already done so. </span></div>
<br />
<div>
</div>
<div>
<span style="font-family: Verdana;"><br /></span></div>
<div>
<span style="font-family: Verdana;">Ian & the WekaMOOC team</span></div>
<br /><br />
<span style="font-family: Verdana;"><br /></span><br />
<div>
<span style="font-family: Verdana;"><br /></span><br />
<span style="font-family: Verdana;">PS</span><br />
<span style="font-family: Verdana;">any previous students who wish to volunteer as Community Teaching Assistants for this session are also welcome:</span><br />
<span style="font-family: Verdana;"><a href="http://wekamooc.blogspot.co.nz/2014/06/volunteer-community-teaching-assistants.html" target="_blank"><span style="color: #88aaee;">http://wekamooc.blogspot.co.<wbr></wbr></span><span style="color: #88aaee;">nz/2014/06/volunteer-<wbr></wbr></span><span style="color: #88aaee;">community-teaching-assistants.<wbr></wbr></span><span style="color: #88aaee;">html</span></a></span></div>
WekaMOOChttp://www.blogger.com/profile/16466481278906922176noreply@blogger.com7Hamilton, New Zealand-37.7870012 175.27925300000004-37.987814199999995 174.95652950000004 -37.5861882 175.60197650000003tag:blogger.com,1999:blog-3716026312089765186.post-55596604474468460332015-06-29T10:19:00.001+12:002015-06-29T10:19:40.473+12:00Class 5 is now available<br />
<span style="font-family: Verdana, sans-serif;">The lessons for Class 5, the last in our course, are now available on the course website:</span><br />
<div>
<a href="https://weka.waikato.ac.nz/moredataminingwithweka" target="_blank"><span style="font-family: Verdana, sans-serif;">https://weka.waikato.ac.nz/<wbr></wbr>moredataminingwithweka</span></a><br />
<span style="font-family: Verdana, sans-serif;"><br /> The 6 lessons in Class 5 addresses some important miscellaneous issues. Two are devoted to neural networks, both the simple Perceptron and multilayer Perceptrons — sometimes called “connectionist” models. Then we consider that perennial question, “how much data is enough?”, and show how to answer it using learning curves. Next we look at how to optimise the parameters of learning algorithms, and finally we return to the very beginning and re-visit the ARFF format, including some useful features that haven’t yet been encountered.<br /><br /> The post-course assessment is also now open. The videos, slides and transcripts will remain available at YouTube, Youku and the "Materials" site:</span></div>
<div>
<br />
<a href="http://www.cs.waikato.ac.nz/ml/weka/mooc/moredataminingwithweka/"><span style="font-family: Verdana, sans-serif;">http://www.cs.waikato.ac.nz/ml/weka/mooc/moredataminingwithweka/</span></a></div>
<br />
<span style="font-family: Verdana, sans-serif;">There is also a post-course survey for your opinions of the MOOC.<br /><br /> We aim to run both the introductory course “Data Mining with Weka” and “More Data Mining with Weka” again, but are not yet sure when. As for a possible third course, “Advanced Data Mining with Weka”, that’s still under consideration: there’s no schedule yet.</span><br />
<br />
<span style="font-family: Verdana, sans-serif;"><br /> cheers, and enjoy the remainder of the course!</span><br />
<br />
<span style="font-family: Verdana, sans-serif;">Ian</span>WekaMOOChttp://www.blogger.com/profile/16466481278906922176noreply@blogger.com1Hamilton, New Zealand-37.7870012 175.27925300000004-37.987814199999995 174.95652950000004 -37.5861882 175.60197650000003tag:blogger.com,1999:blog-3716026312089765186.post-88138657784520188272015-06-22T10:22:00.000+12:002015-06-22T10:27:41.335+12:00Class 4 is now available <div>
<span style="font-family: Verdana, sans-serif;">The six lessons for Class 4 are now available on the course website:</span></div>
<div>
<span style="font-family: Verdana;"><br /></span></div>
<div>
<span style="font-family: Verdana;"> <a href="https://weka.waikato.ac.nz/moredataminingwithweka">https://weka.waikato.ac.nz/moredataminingwithweka</a></span></div>
<span style="font-family: Verdana, sans-serif;"><br /></span><br />
<div>
<span style="font-family: Verdana, sans-serif;">In this class we'll learn about two topics: attribute selection and cost-sensitive classification. Automatic selection of an attribute subset is a powerful way of getting both good results and simpler, easily explainable, models from machine learning; indeed you will end up achieving stunning results with a tiny subset of attributes on a document classification task. And taking the costs of different kinds of error into account is essential in many practical applications.</span> </div>
<div>
<span style="font-family: Verdana, sans-serif;">Next week is the last. Pretty soon you will be an expert in data mining and the use of Weka!</span> </div>
<br />
<div>
<span style="font-family: Verdana, sans-serif;">cheers</span> </div>
<br />
<div>
<span style="font-family: Verdana, sans-serif;">Ian</span> </div>
WekaMOOChttp://www.blogger.com/profile/16466481278906922176noreply@blogger.com0Hamilton, New Zealand-37.7870012 175.27925300000004-37.987814199999995 174.95652950000004 -37.5861882 175.60197650000003tag:blogger.com,1999:blog-3716026312089765186.post-33531198380215438632015-06-15T10:35:00.000+12:002015-06-15T10:35:10.996+12:00Class 3 is now available<br />
<div>
<span style="font-family: Verdana, sans-serif;">The six lessons for Class 3 are now available on the course website:<br /><br /> </span><a href="https://weka.waikato.ac.nz/moredataminingwithweka" target="_blank"><span style="font-family: Verdana, sans-serif;">https://weka.waikato.ac.nz/<wbr></wbr>moredataminingwithweka</span></a><br />
<br />
<span style="font-family: Verdana, sans-serif;">After this week there are 2 weeks to go (classes 4 and 5).<br /><br />The mid-course assessment is also now available. Do it when you have finished Class 2 (although it will remain open for the rest of the course). The final assessment will appear during week 5.</span></div>
<div>
<span style="font-family: Verdana, sans-serif;"></span> </div>
<div>
<span style="font-family: Verdana, sans-serif;">Check your <em>Profile</em> to ensure that your assessment marks have been recorded correctly. Also, check that the name in your Profile is the one you want on your <em>Statement of Completion</em>: as we will use that <strong>exact text</strong> for the Statements. </span><br />
<br />
<span style="font-family: Verdana, sans-serif;">My goal is to enable you to learn as much as possible from this course, and I recognize that doing the assessments may not be a priority for you. However, our ability to mount follow-up MOOCs will depend on the success of this one as perceived by my University -- and the number of people who complete it successfully will be a key metric. Thus I urge you to do the assessments for my sake, if not your own :-)<br /><br />cheers, and keep going! Weeks 3 and 4 are the central part of this course.</span></div>
<div>
<span style="font-family: Verdana;"></span> </div>
<div>
<span style="font-family: Verdana;">Ian</span></div>
WekaMOOChttp://www.blogger.com/profile/16466481278906922176noreply@blogger.com0Hamilton, New Zealand-37.7870012 175.27925300000004-37.987814199999995 174.95652950000004 -37.5861882 175.60197650000003tag:blogger.com,1999:blog-3716026312089765186.post-19876773177824063752015-06-08T10:11:00.000+12:002015-06-08T10:11:03.094+12:00Class 2 is now available<br />
<div>
<span style="font-family: Verdana, sans-serif;">The six lessons for Class 2 are now available on the course website:</span><br />
<br />
<span style="font-family: Verdana, sans-serif;"><a href="https://weka.waikato.ac.nz/moredataminingwithweka">https://weka.waikato.ac.nz/<wbr></wbr>moredataminingwithweka</a></span><br />
<br />
<span style="font-family: Verdana, sans-serif;">The mid-course assessment, following Class 2, is also available. </span><span style="font-family: Verdana, sans-serif;">Following that, there are 3 weeks to go (classes 3, 4 and 5).<br /><br />The activities are a crucial part of the course: they're where most people will do their actual learning! However, they do not form part of the assessment, so don't be scared to get wrong answers. Also, some of the activities are pretty difficult and time-consuming. You don't necessarily need to actually complete them if you find that difficult on your computer, but you do need to understand what it is that you are supposed to do -- and why.<br /><br />"More Data Mining with Weka" has been designed so that participants at many different levels can learn as much as possible – and complete the course successfully. You don't have to do the reading. All you must do to succeed are the mid-course and final assessments -- which you can try as often as you like. </span><br />
<span style="font-family: Verdana, sans-serif;">The mid-course assessment will remain open for the rest of the course; the final assessment will appear during week 5.</span></div>
<div>
<span style="font-family: Verdana, sans-serif;"><br /></span><span style="font-family: Verdana, sans-serif;">The videos and other course components for Classes 1 and 2 can be downloaded from the "Materials" site, in case you find that more convenient than viewing them online:</span><br />
<br />
<a href="http://www.cs.waikato.ac.nz/ml/weka/mooc/moredataminingwithweka/"><span style="font-family: Verdana, sans-serif;">http://www.cs.waikato.ac.nz/ml/weka/mooc/moredataminingwithweka/</span></a></div>
<span style="font-family: Verdana;"></span> <span style="font-family: Verdana, sans-serif;"><br />cheers, and keep going!</span><br />
<div>
<span style="font-family: Verdana, sans-serif;"></span> </div>
<div>
<span style="font-family: Verdana, sans-serif;">Ian</span></div>
<br />WekaMOOChttp://www.blogger.com/profile/16466481278906922176noreply@blogger.com0Hamilton, New Zealand-37.7870012 175.27925300000004-37.987814199999995 174.95652950000004 -37.5861882 175.60197650000003tag:blogger.com,1999:blog-3716026312089765186.post-24396803899987737712015-06-02T10:52:00.001+12:002015-06-02T10:52:39.447+12:00Welcome to "More Data Mining with Weka"<br />
<span style="font-family: Verdana, sans-serif;">Welcome to the course "More Data Mining with Weka". The six lessons for Class 1 are now available on the course website:</span><br />
<div>
<span style="font-family: Verdana, sans-serif;"> </span> </div>
<div>
<span style="font-family: Verdana, sans-serif;"><a href="https://weka.waikato.ac.nz/moredataminingwithweka/">https://weka.waikato.ac.nz/moredataminingwithweka/</a></span></div>
<div>
</div>
<div>
<span style="font-family: Verdana, sans-serif;">We will release classes 2, 3, 4, and 5 at approximately the same time (Monday noon NZ time) in the upcoming weeks, and send reminder announcements.</span></div>
<div>
<span style="font-family: Verdana, sans-serif;"> </span> </div>
<div>
<span style="font-family: Verdana, sans-serif;">The course includes the following resources:</span></div>
<ul>
<li><span style="font-family: Verdana, sans-serif;">the Weka software</span></li>
<li><span style="font-family: Verdana, sans-serif;">videos, one per lesson, on YouTube</span></li>
<li><span style="font-family: Verdana, sans-serif;"></span> <span style="font-family: Verdana, sans-serif;">the videos include captions (English and Chinese), which can be turned on in YouTube</span></li>
<li><span style="font-family: Verdana, sans-serif;"></span> <span style="font-family: Verdana, sans-serif;">we recommend viewing in HD format, again a YouTube control</span></li>
<li><span style="font-family: Verdana, sans-serif;"></span> <span style="font-family: Verdana, sans-serif;">slides used in the videos (PDF format)</span></li>
<li><span style="font-family: Verdana, sans-serif;"></span> <span style="font-family: Verdana, sans-serif;">text files containing transcripts of the videos</span></li>
<li><span style="font-family: Verdana, sans-serif;"></span> <span style="font-family: Verdana, sans-serif;">activities that follow each lesson</span></li>
<li><span style="font-family: Verdana, sans-serif;"></span> <span style="font-family: Verdana, sans-serif;">access to selected excerpts from <em>Data Mining</em> (3rd Edition) - plus you can buy a discounted copy from the publisher</span></li>
<li><span style="font-family: Verdana, sans-serif;">mid-course assessment (opens 8 June, with the Week 2 content) </span></li>
<li><span style="font-family: Verdana, sans-serif;"></span> <span style="font-family: Verdana, sans-serif;">final assessment (opens 29 June, with the Week 5 content)</span></li>
<li><span style="font-family: Verdana, sans-serif;"></span> <span style="font-family: Verdana, sans-serif;">announcement forum, blog, twitter feed (available from the course website)</span></li>
<li><span style="font-family: Verdana, sans-serif;"></span> <span style="font-family: Verdana, sans-serif;">discussion forum.</span></li>
</ul>
<div>
<span style="font-family: Verdana, sans-serif;"></span> </div>
<div>
<span style="font-family: Verdana, sans-serif;"> for Chinese participants:</span></div>
<ul>
<li><span style="font-family: Verdana, sans-serif;"><span style="white-space: pre-wrap;"> </span>videos on our Youku channel </span></li>
<ul>
<li> <span style="font-family: Verdana, sans-serif;">one version with captions in Chinese and another with English captions</span></li>
<li><span style="font-family: Verdana;"><a href="http://i.youku.com/u/UMTI4NTE5OTA0NA">http://i.youku.com/u/UMTI4NTE5OTA0NA</a></span></li>
</ul>
</ul>
<div>
<span style="font-family: Verdana, sans-serif;">Some notes for participants:</span></div>
<ul>
<li><span style="font-family: Verdana, sans-serif;">work through the videos and activities at your own pace, in your own time</span></li>
<li><span style="font-family: Verdana, sans-serif;">a new class appears every week; old classes will remain available until the course closes</span></li>
<li><span style="font-family: Verdana, sans-serif;"></span><span style="font-family: Verdana, sans-serif;">in theory, you could leave all your learning to the last week (we don't recommend this!)</span></li>
<li><span style="font-family: Verdana, sans-serif;">please subscribe to the announcement forum if you haven't already done so: this is the best way to stay up-to-date with the course (click on Membership and email settings to subscribe)</span></li>
<li><span style="font-family: Verdana, sans-serif;">only the mid-course and final assessments count towards the <em>Statement of Completion</em></span></li>
<li><span style="font-family: Verdana;">please check your name and marks in the <em>My Profile</em> section of the website (this is the data we will use to produce your <em>Statement of Completion</em>)</span></li>
<li><span style="font-family: Verdana, sans-serif;">during the videos, it may help to follow with Weka on your own computer ("click along with Ian")</span></li>
<li><span style="font-family: Verdana, sans-serif;">the course should take 3–5 hours/week (4–6 hours if you do the optional reading)</span></li>
<li><span style="font-family: Verdana, sans-serif;">a detailed syllabus is available: </span></li>
</ul>
<a href="https://weka.waikato.ac.nz/moredataminingwithweka/assets/pdf/syllabus.pdf"><span style="font-family: Verdana, sans-serif;">https://weka.waikato.ac.nz/moredataminingwithweka/assets/pdf/syllabus.pdf</span></a><br />
<div>
<span style="font-family: Verdana, sans-serif;"></span> </div>
<div>
<span style="font-family: Verdana, sans-serif;"></span><br />
<div>
<span style="font-family: Verdana, sans-serif;"><span style="font-family: Verdana, sans-serif;">A reminder that you can review material from the <em>Data Mining with Weka</em> course at:</span></span></div>
<span style="font-family: Verdana, sans-serif;"></span><div>
<span style="font-family: Verdana, sans-serif;"><span style="font-family: Verdana;"></span> </span></div>
<span style="font-family: Verdana, sans-serif;"><div>
<a href="http://www.cs.waikato.ac.nz/ml/weka/mooc/dataminingwithweka/"><span style="font-family: Verdana, sans-serif;">http://www.cs.waikato.ac.nz/ml/weka/mooc/dataminingwithweka/</span></a></div>
<div>
</div>
<div>
You will be using Weka 3.6.12 throughout this course, so please download it and install it on your computer. It’s available at both:</div>
</span><br />
<div>
<span style="font-family: Verdana;"></span> </div>
</div>
<div>
<a href="http://www.cs.waikato.ac.nz/ml/weka/downloading.html" target="_blank"><span style="font-family: Verdana, sans-serif;">http://www.cs.waikato.ac.<wbr></wbr>nz/ml/weka/downloading.html</span></a><span style="font-family: Verdana, sans-serif;"> </span></div>
<div>
<span style="font-family: Verdana, sans-serif;"><wbr></wbr>and </span><span style="font-family: Verdana, sans-serif;"></span></div>
<div>
<a href="http://sourceforge.net/projects/weka/files/weka-3-6/" target="_blank"><span style="font-family: Verdana, sans-serif;">http://sourceforge.net/<wbr></wbr>projects/weka/files/weka-3-6/</span></a></div>
<div>
<span style="font-family: Verdana, sans-serif;"> </span></div>
<div>
<span style="font-family: Verdana, sans-serif;">Please help us by filling out the pre-course survey if you have not already done so.</span></div>
<div>
<span style="font-family: Verdana, sans-serif;"></span><br />
<div>
<span style="font-family: Verdana, sans-serif;"></span> </div>
</div>
<div>
<span style="font-family: Verdana, sans-serif;">By the time you have finished this course you will be an expert user of Weka and very knowledgeable about data mining generally. But it will take some effort, and motivation.</span><br />
<div>
<span style="font-family: Verdana, sans-serif;"></span> </div>
<div>
<span style="font-family: Verdana, sans-serif;">cheers, and good luck</span></div>
<div>
<span style="font-family: Verdana;">Ian</span></div>
<div>
<span style="font-family: Verdana;"></span> </div>
<div>
<span style="font-family: Verdana;"></span> </div>
<div>
<div>
<a href="http://weka.waikato.ac.nz/" target="_blank"><span style="font-family: Verdana, sans-serif;">http://weka.waikato.ac.nz/</span></a></div>
<div>
<a href="https://twitter.com/WekaMOOC" target="_blank"><span style="font-family: Verdana, sans-serif;">https://twitter.com/WekaMOOC</span></a></div>
<div>
<a href="http://wekamooc.blogspot.co.nz/" target="_blank"><span style="font-family: Verdana, sans-serif;">http://wekamooc.blogspot.co.nz/</span></a></div>
</div>
</div>
WekaMOOChttp://www.blogger.com/profile/16466481278906922176noreply@blogger.com4Hamilton, New Zealand-37.7870012 175.27925300000004-37.987814199999995 174.95652950000004 -37.5861882 175.60197650000003tag:blogger.com,1999:blog-3716026312089765186.post-54219539845392263012015-05-21T11:54:00.002+12:002015-05-21T11:55:20.314+12:00Enrolments open for new session of More Data with Weka
<br />
<div>
<span style="font-family: Verdana, sans-serif;">We will be closing the current session of <em>Data Mining with Weka</em> on the 25th May.</span><br />
<span style="font-family: Verdana, sans-serif;">A new session of <em>More Data Mining with Weka</em> is now open for enrolment and will start on 1 June 2015. </span></div>
<div>
<div>
<span style="font-family: Verdana, sans-serif;"><br /></span><span style="font-family: Verdana, sans-serif;">You do <strong>not</strong> have to have actually obtained a <em>Statement of Completion</em> for the introductory <em>Data Mining with Weka</em> MOOC to embark on <em>More Data Mining with Weka</em>, but you will certainly need equivalent knowledge.</span></div>
<div>
<span style="font-family: Verdana, sans-serif;"><br /></span><span style="font-family: Verdana, sans-serif;">In this second MOOC — even more than the first — you will do most of your learning in the <em>Activities</em>, and you should allow extra time for them because they’re a bit more challenging than before. Otherwise the format, and time commitment, is the same as the earlier course. Again, you do not have to complete the <em>Activities</em> to get a <em>Statement of Completion</em>: that’s based solely on your performance in the mid-class and end-of-class assessments.</span></div>
<div>
<span style="font-family: Verdana, sans-serif;"><br /></span><span style="font-family: Verdana, sans-serif;">There’s more information about the course in the trailer video: it’s informative, entertaining, and only about 3 minutes long. </span><br />
<span style="font-family: Verdana;"><br /></span><br />
<iframe allowfullscreen="" frameborder="0" height="315" src="https://www.youtube.com/embed/iqQn6YfyGs0?rel=0" width="560"></iframe> <span style="font-family: Verdana;"></span><br />
<div>
<span style="font-family: Verdana;"><span style="font-family: Verdana, sans-serif;"></span> </span><br />
<span style="font-family: Verdana;"><span style="font-family: Verdana, sans-serif;">A <a href="https://weka.waikato.ac.nz/moredataminingwithweka/assets/pdf/syllabus.pdf" target="_blank">detailed syllabus</a> is available.</span></span></div>
<span style="font-family: Verdana;"></span><br />
<div>
<span style="font-family: Verdana;"><span style="font-family: Verdana, sans-serif;">By the time you have finished this course you will be an <em>expert</em> on the use of <em>Weka</em>.</span><span style="font-family: Verdana;"></span> <span style="font-family: Verdana;">Enrol at:</span></span><br />
<br />
<span style="font-family: Verdana;"><a href="https://weka.waikato.ac.nz/moredataminingwithweka"><span style="font-family: Verdana, sans-serif;">https://weka.waikato.ac.nz/moredataminingwithweka</span></a></span><br />
<div>
<span style="font-family: Verdana;"> </span></div>
<div>
<span style="font-family: Verdana;"><span style="font-family: Verdana, sans-serif;">cheers</span></span></div>
<div>
<span style="font-family: Verdana;"><span style="font-family: Verdana;">Ian</span></span></div>
</div>
</div>
</div>
WekaMOOChttp://www.blogger.com/profile/16466481278906922176noreply@blogger.com1tag:blogger.com,1999:blog-3716026312089765186.post-7781980220591516712015-05-11T17:08:00.000+12:002015-05-11T17:08:16.021+12:00Class 5 and final assessment available<div>
<span style="font-family: Verdana, sans-serif;">The lessons for Class 5, the last in our course, are now available on the course website:</span> <br />
<br />
<span style="font-family: Verdana, sans-serif;"><a href="https://weka.waikato.ac.nz/dataminingwithweka/course">https://weka.waikato.ac.nz/dataminingwithweka/course</a></span> <br />
<br />
<span style="font-family: Verdana, sans-serif;">Class 5 broadens out to consider some more general issues. It's a short week, with just four topics:</span> </div>
<div class="im">
<ul>
<li><span style="font-family: Verdana, sans-serif;">5.1: The data mining process</span></li>
<li><span style="font-family: Verdana, sans-serif;">5.2: Pitfalls and pratfalls</span></li>
<li><span style="font-family: Verdana, sans-serif;">5.3: Data mining and ethics</span></li>
<li><span style="font-family: Verdana, sans-serif;">5.4: Summary</span></li>
</ul>
</div>
<div>
<span style="font-family: Verdana, sans-serif;"></span> </div>
<div>
<span style="font-family: Verdana, sans-serif;">The post-course assessment is also now open. Everything will remain open until 25th May, when the course will be closed.</span></div>
<div>
<span style="font-family: Verdana, sans-serif;"></span> </div>
<div>
<span style="font-family: Verdana, sans-serif;">There is also a post-course survey for your opinions of the MOOC. </span></div>
<div>
<span style="font-family: Verdana, sans-serif;"></span> </div>
<div>
<span style="font-family: Verdana, sans-serif;">We are also running a session of the follow-on </span><span style="font-family: Verdana, sans-serif;">MOOC "<a href="https://weka.waikato.ac.nz/moredataminingwithweka/preview">More Data Mining with Weka</a>" starting 6th June. </span><span style="font-family: Verdana, sans-serif;"> </span></div>
<span style="font-family: Verdana, sans-serif;"><br />cheers, and enjoy the remainder of the course!</span> <br />
<br />
<div>
<span style="font-family: Verdana, sans-serif;">Ian</span></div>
WekaMOOChttp://www.blogger.com/profile/16466481278906922176noreply@blogger.com0Hamilton, New Zealand-37.7870012 175.27925300000004-37.987814199999995 174.95652950000004 -37.5861882 175.60197650000003tag:blogger.com,1999:blog-3716026312089765186.post-46213708357004390062015-05-04T09:36:00.000+12:002015-05-04T09:36:36.940+12:00Class 4 is now available<br />
<br />
<div>
<div class="im">
<span style="font-family: Verdana, sans-serif;">The six lessons for Class 4 are now available on the course website:</span><br />
<br />
<span style="font-family: Verdana;"><a href="https://weka.waikato.ac.nz/dataminingwithweka">https://weka.waikato.ac.nz/dataminingwithweka</a></span><br />
<span style="font-family: Verdana;"><br /></span></div>
<span style="font-family: Verdana, sans-serif;">This class introduces some more advanced methods and techniques. The topics are:</span></div>
<ul>
<li><span style="font-family: Verdana, sans-serif;">4.1: Classification boundaries</span></li>
<li><span style="font-family: Verdana, sans-serif;">4.2: Linear regression</span></li>
<li><span style="font-family: Verdana, sans-serif;">4.3: Classification by regression</span></li>
<li><span style="font-family: Verdana, sans-serif;">4.4: Logistic regression</span></li>
<li><span style="font-family: Verdana, sans-serif;">4.5: Support vector machines</span></li>
<li><span style="font-family: Verdana, sans-serif;">4.6: Ensemble learning</span></li>
</ul>
<div>
<span style="font-family: Verdana, sans-serif;">The last three are high-performance contemporary algorithms. I aim to give you a conceptual understanding of what they do and how they work, but not the gory details. You have to learn to live and work in a world where you don't understand everything. You will see some mathematics in Lessons 4.2, 4.3 and 4.5. But don't worry: I'll explain it, and anyway you don't have to fully understand the math. </span><br />
<span style="font-family: Verdana;"><br /></span></div>
<div>
<div>
<span style="font-family: Verdana, sans-serif;">Next week is the last. And it's short: Class 5 has only 4 lessons, not the usual 6. And it's more relaxed: no math at all.</span></div>
</div>
<div class="im">
<div>
</div>
<div>
<span style="font-family: Verdana, sans-serif;"><span style="font-family: Verdana, sans-serif;">cheers, and keep going!</span></span></div>
<div>
</div>
</div>
<div>
<div>
<span style="font-family: Verdana;">Ian</span></div>
</div>
WekaMOOChttp://www.blogger.com/profile/16466481278906922176noreply@blogger.com0Hamilton, New Zealand-37.7870012 175.27925300000004-37.987814199999995 174.95652950000004 -37.5861882 175.60197650000003tag:blogger.com,1999:blog-3716026312089765186.post-75186358087508329552015-04-28T09:55:00.003+12:002015-04-28T09:55:57.117+12:00Class 3 is now available<br />
<span style="font-family: Verdana, sans-serif;">The six lessons for Class 3 are now available on the course website:</span><span style="font-family: Verdana;"><br /></span><br />
<span style="font-family: Verdana, sans-serif;"></span><span style="font-family: Verdana, sans-serif;"> <a href="https://weka.waikato.ac.nz/dataminingwithweka">https://weka.waikato.ac.nz/dataminingwithweka</a></span><br />
<span style="font-family: Verdana, sans-serif;"></span><br />
<span style="font-family: Verdana, sans-serif;">After this week there are 2 weeks to go (classes 4 and 5).</span><span style="font-family: Verdana, sans-serif;"><br /></span><br />
<span style="font-family: Verdana, sans-serif;">The mid-course assessment is also available. Do it when you have finished Class 2 (although it will remain open for the rest of the course). The final assessment will appear during week 5. Check your profile to see that your marks have been recorded correctly.</span><br />
<span style="font-family: Verdana, sans-serif;">My goal is to enable you to learn as much as possible from this course, and I recognize that doing the assessments may not be a priority for you. However, our ability to mount follow-up MOOCs will depend on the success of this one as perceived by my University -- and the number of people who complete it successfully will be a key metric. Thus I urge you to do the assessments for my sake, if not your own :-)</span><br />
<span style="font-family: Verdana;"></span><span style="font-family: Verdana;"><br /></span><br />
<span style="font-family: Verdana, sans-serif;">cheers, and keep going! </span><span style="font-family: Verdana, sans-serif;">Weeks 3 and 4 are the central part of this course.</span><span style="font-family: Verdana;"><br /></span> <span style="font-family: Verdana;">Ian</span>WekaMOOChttp://www.blogger.com/profile/16466481278906922176noreply@blogger.com0Hamilton, New Zealand-37.7870012 175.27925300000004-37.987814199999995 174.95652950000004 -37.5861882 175.60197650000003tag:blogger.com,1999:blog-3716026312089765186.post-9622882942255432912015-04-20T10:22:00.001+12:002015-04-20T10:22:54.976+12:00Class 2 is now available<br />
<div class="im">
<span style="font-family: Verdana, sans-serif;">The six lessons for Class 2 are now available on the course website:<br /><br /><a href="https://weka.waikato.ac.nz/dataminingwithweka">https://weka.waikato.ac.nz/dataminingwithweka</a></span><br />
<span style="font-family: Verdana, sans-serif;"><br /> Following that, there are 3 weeks to go (classes 3, 4 and 5).</span></div>
<div class="im">
<span style="font-family: Verdana, sans-serif;">The activities are a crucial part of the course: they're where most people will do their actual learning! However, they do not form part of the assessment, so don't be scared to get wrong answers.<br /><br />"Data Mining with Weka" has been designed so that participants at many different levels can learn as much as possible – and complete the course successfully. You don't have to do the reading. All you must do to succeed </span></div>
<span style="font-family: Verdana, sans-serif;">are the mid-course and final assessments -- which you can try as often as you like. The mid-course assessment will become available this week (24 April) and remain open for the rest of the course. The final assessment will appear during week 5.</span><br />
<span style="font-family: Verdana;"></span><br />
<span style="font-family: Verdana, sans-serif;"><br />cheers, and keep going!</span><br />
<span style="font-family: Verdana, sans-serif;"><br />Ian</span>WekaMOOChttp://www.blogger.com/profile/16466481278906922176noreply@blogger.com0Hamilton, New Zealand-37.7870012 175.27925300000004-37.987814199999995 174.95652950000004 -37.5861882 175.60197650000003tag:blogger.com,1999:blog-3716026312089765186.post-17270553857595752782015-04-13T13:36:00.001+12:002015-04-13T13:36:39.351+12:00Welcome to "Data Mining with Weka"<br />
<span style="font-family: Verdana, sans-serif;">Welcome to the course "Data Mining with Weka". The six lessons for Class 1 are now available on the course website</span><br />
<div>
<span style="white-space: pre-wrap;"><span style="font-family: Verdana, sans-serif;"> </span></span><a href="https://weka.waikato.ac.nz/" target="_blank"><span style="color: #0066cc; font-family: Verdana, sans-serif;"><u>https://weka.waikato.ac.nz/</u></span></a><u><br /></u></div>
<div>
<span style="font-family: Verdana, sans-serif;"></span><br />
<div>
<span style="font-family: Verdana, sans-serif;">We will release classes 2, 3, 4, and 5 at approximately the same time (Monday noon NZ time) in the upcoming weeks, and send reminder announcements.</span></div>
</div>
<div>
<span style="font-family: Verdana, sans-serif;">The course includes the following resources:</span></div>
<ul>
<li><span style="font-family: Verdana, sans-serif;"><span style="white-space: pre-wrap;"> </span>the </span><a href="http://www.cs.waikato.ac.nz/ml/weka/" target="_blank"><span style="color: #0066cc; font-family: Verdana, sans-serif;"><u>Weka software</u></span></a><span style="font-family: Verdana, sans-serif;">; Lesson 1.2 gives downloading instructions (we are using version 3.6.11)</span></li>
<li><span style="font-family: Verdana, sans-serif;"><span style="white-space: pre-wrap;"> </span>videos, one per lesson, on </span><a href="https://www.youtube.com/user/WekaMOOC/videos" target="_blank"><span style="color: #0066cc; font-family: Verdana, sans-serif;"><u>YouTube</u></span></a></li>
<li><span style="font-family: Verdana, sans-serif;"><span style="white-space: pre-wrap;"> </span>the videos include captions (English and Chinese), which can be turned on in YouTube</span></li>
<li><span style="font-family: Verdana, sans-serif;"><span style="white-space: pre-wrap;"> </span>we recommend viewing in HD format, again a YouTube control</span></li>
<li><span style="font-family: Verdana, sans-serif;"><span style="white-space: pre-wrap;"> </span>slides used in the videos (PDF format)</span></li>
<li><span style="font-family: Verdana, sans-serif;"><span style="white-space: pre-wrap;"> </span>text files containing transcripts of the videos</span></li>
<li><span style="font-family: Verdana, sans-serif;"> activities that follow each lesson</span></li>
<li><span style="font-family: Verdana, sans-serif;"> access to selected excerpts from </span><span style="font-family: Verdana, sans-serif;">Data Mining (3rd Edition) - </span><span style="font-family: Verdana, sans-serif;">plus you can buy a discounted copy from the publisher</span></li>
<li><span style="font-family: Verdana, sans-serif;"><span style="white-space: pre-wrap;"> </span>mid-course assessment (opens 24 April, in Week 2) </span></li>
<li><span style="font-family: Verdana, sans-serif;"><span style="white-space: pre-wrap;"> </span></span><span style="font-family: Verdana, sans-serif;">final assessment (opens 15 May, in Week 5)</span></li>
<li><span style="font-family: Verdana, sans-serif; white-space: pre-wrap;"> </span><a href="https://weka.waikato.ac.nz/dataminingwithweka/announcements_forum" target="_blank"><span style="color: #0066cc; font-family: Verdana, sans-serif;"><u>announcement forum</u></span></a><span style="font-family: Verdana, sans-serif;">, </span><a href="http://wekamooc.blogspot.co.nz/" target="_blank"><span style="color: #0066cc; font-family: Verdana, sans-serif;"><u>blog</u></span></a><span style="font-family: Verdana, sans-serif;">, </span><a href="https://twitter.com/wekamooc" target="_blank"><span style="color: #0066cc; font-family: Verdana, sans-serif;"><u>twitter feed</u></span></a><span style="font-family: Verdana, sans-serif;"> (available from the course website)</span></li>
<li><span style="font-family: Verdana, sans-serif;"> </span><a href="https://groups.google.com/forum/#%21forum/wekamooc-general" target="_blank"><span style="color: #0066cc; font-family: Verdana, sans-serif;"><u>discussion forum</u></span></a><span style="font-family: Verdana, sans-serif;">: Teaching Assistants will be available to help you. Primarily this will be in English but some of the Assistants have said they can also help in other languages.</span></li>
<span style="font-family: Verdana, sans-serif;"></span></ul>
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<span style="font-family: Verdana, sans-serif;"><span style="white-space: pre-wrap;"> </span>for Chinese participants:</span></div>
<ul>
<li><span style="font-family: Verdana, sans-serif;"><span style="white-space: pre-wrap;"> </span>videos on </span><a href="http://i.youku.com/u/id_UMTI4NTE5OTA0NA==" target="_blank"><span style="color: #0066cc; font-family: Verdana, sans-serif;"><u>Youku</u></span></a></li>
<ul>
<li><span style="font-family: Verdana, sans-serif;">one version with captions in Chinese (another with English captions is available on our Youku channel)</span><span style="font-family: Verdana, sans-serif;"></span></li>
<span style="font-family: Verdana, sans-serif;"></span></ul>
<span style="font-family: Verdana, sans-serif;"></span></ul>
<span style="font-family: Verdana, sans-serif;"></span><br />
<span style="font-family: Verdana, sans-serif;">Some notes for participants:</span><br />
<ul>
<li><span style="font-family: Verdana, sans-serif;"><span style="white-space: pre-wrap;"> </span>work through the videos and activities at your own pace, in your own time</span></li>
<li><span style="font-family: Verdana, sans-serif;"><span style="white-space: pre-wrap;"> </span>a new class appears every week; old classes will remain available until the course closes</span></li>
<ul>
<li><span style="font-family: Verdana, sans-serif;"><span style="white-space: pre-wrap;"> </span>in theory, you could leave all your learning to the last week (we don't recommend this!)</span></li>
</ul>
<li><span style="font-family: Verdana;">please subscribe to the <a href="https://weka.waikato.ac.nz/dataminingwithweka/announcements_forum" target="_blank"><span style="color: #0066cc; font-family: Verdana, sans-serif;"><u>announcement forum</u></span></a> if you haven't already done so: this is the best way to stay up-to-date with the course (click on <em><a href="https://weka.waikato.ac.nz/dataminingwithweka/announcements_forum" target="_blank"><u><span style="color: #0066cc;">Membership and email settings</span></u></a> </em>to subscribe)</span></li>
<li><span style="font-family: Verdana, sans-serif;">only the mid-course and final assessments count towards the <em>Statement of Completion</em></span></li>
<li><span style="font-family: Verdana, sans-serif;"><span style="white-space: pre-wrap;"> </span>feel free to install Weka in advance, but please ensure that you have version 3.6.11</span></li>
<li><span style="font-family: Verdana, sans-serif;"><span style="white-space: pre-wrap;"> </span>if you already know something about Weka, feel free to skip the first class (or two)</span></li>
<li><span style="font-family: Verdana, sans-serif;"><span style="white-space: pre-wrap;"> </span>during the videos, it may help to follow with Weka on your own computer ("click along with Ian")</span></li>
<li><span style="font-family: Verdana, sans-serif;"><span style="white-space: pre-wrap;"> </span>the course should take 2–3 hours/week (3–4 hours if you do the optional reading)</span></li>
<li><span style="font-family: Verdana;">you can download the materials from <a href="http://www.cs.waikato.ac.nz/ml/weka/mooc/dataminingwithweka/" target="_blank"><span style="color: #88aaee;">http://www.cs.waikato.ac.nz/<wbr></wbr></span><span style="color: #88aaee;">ml/weka/mooc/<wbr></wbr></span><span style="color: #88aaee;">dataminingwithweka/</span></a></span></li>
</ul>
<div>
<span style="font-family: Verdana, sans-serif;">Please help us by filling out the </span><span style="color: #88aaee; font-family: Verdana, sans-serif;"><a href="https://weka.waikato.ac.nz/dataminingwithweka/assessment?name=Pre" target="_blank"><u>pre-course survey</u></a></span><span style="font-family: Verdana, sans-serif;"> if you have not already done so. </span></div>
<div>
<span style="font-family: Verdana, sans-serif;">cheers, and good luck</span></div>
<div>
<span style="font-family: Verdana, sans-serif;"></span> <span style="font-family: Verdana, sans-serif;">Ian</span><br />
<span style="font-family: Verdana;"><br /></span><br />
<span style="font-family: Verdana;">PS</span><br />
<span style="font-family: Verdana;">any previous students who wish to volunteer as Community Teaching Assistants are also welcome:</span><br />
<span style="font-family: Verdana;"><a href="http://wekamooc.blogspot.co.nz/2014/06/volunteer-community-teaching-assistants.html" target="_blank"><span style="color: #88aaee;">http://wekamooc.blogspot.co.<wbr></wbr></span><span style="color: #88aaee;">nz/2014/06/volunteer-<wbr></wbr></span><span style="color: #88aaee;">community-teaching-assistants.<wbr></wbr></span><span style="color: #88aaee;">html</span></a></span></div>
WekaMOOChttp://www.blogger.com/profile/16466481278906922176noreply@blogger.com0Hamilton, New Zealand-37.7870012 175.27925300000004-37.987814199999995 174.95652950000004 -37.5861882 175.60197650000003tag:blogger.com,1999:blog-3716026312089765186.post-5213803785600828592015-04-08T16:05:00.001+12:002015-04-08T16:05:05.640+12:00Enrolments open for a new session of Data Mining with Weka<br />
<span style="font-family: Verdana, sans-serif;"><span style="font-family: Verdana, sans-serif;">Enrolments have opened for a new session of <em>Data Mining with Weka</em>:</span></span><br />
<span style="font-family: Verdana, sans-serif;"><span style="font-family: Verdana, sans-serif;"></span></span><br />
<div>
<span style="font-family: Verdana, sans-serif;"><span style="font-family: Verdana, sans-serif;"><a href="http://weka.waikato.ac.nz/" target="_blank"><span style="color: #86182a;">http://weka.waikato.ac.nz</span></a></span></span></div>
<span style="font-family: Verdana, sans-serif;"><span style="font-family: Verdana, sans-serif;"></span></span><br />
<div>
<span style="font-family: Verdana, sans-serif;">The course will start on 13 April 2015 and extends over 5 weeks. It features:</span></div>
<span style="font-family: Verdana, sans-serif;">
</span><br />
<ul><span style="font-family: Verdana, sans-serif;">
<li>Video lectures</li>
<li>Practical activities and online assessment</li>
<li>Extracts from <a href="http://www.cs.waikato.ac.nz/ml/weka/book.html" target="_blank"><span style="color: #86182a;"><em>Data Mining</em> (3rd Edition): Witten, Frank & Hall (2011)</span></a></li>
</span></ul>
<span style="font-family: Verdana, sans-serif;">
</span><div>
<span style="font-family: Verdana, sans-serif;"><br /></span><br />
<span style="font-family: Verdana, sans-serif;">You can also follow the course via Twitter or the blog:</span></div>
<span style="font-family: Verdana, sans-serif;">
<div>
</div>
<div>
<a href="https://twitter.com/WekaMOOC" target="_blank"><span style="color: #86182a;">https://twitter.com/WekaMOOC</span></a></div>
<div>
</div>
<div>
<a href="http://wekamooc.blogspot.co.nz/" target="_blank"><span style="color: #86182a;">http://wekamooc.blogspot.co.<wbr></wbr>nz/</span></a><br />
<br /><br />
Ian</div>
</span><br />WekaMOOChttp://www.blogger.com/profile/16466481278906922176noreply@blogger.com0Hamilton, New Zealand-37.7870012 175.27925300000004-37.987814199999995 174.95652950000004 -37.5861882 175.60197650000003