Class 5 is now available

The lessons for Class 5, the last in our course, are now available on the course website:

https://weka.waikato.ac.nz/moredataminingwithweka

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.

The post-course assessment is also now open. The videos, slides and transcripts will remain available at YouTube, Youku and the "Materials" site:

http://www.cs.waikato.ac.nz/ml/weka/mooc/moredataminingwithweka/

There is also a post-course survey for your opinions of the MOOC.

We aim to run both the introductory course “Data Mining with Weka” and “More Data Mining with Weka” again, but are not sure when. As for a possible third course, “Advanced Data Mining with Weka”, that’s still under consideration: there’s no schedule yet.

Please keep up the help on the course forum -- we greatly value your assistance.

cheers, and enjoy the remainder of the course!

Ian

Class 4 is now available

The six lessons for Class 4 are now available on the course website:

https://weka.waikato.ac.nz/moredataminingwithweka

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.

Next week is the last. Pretty soon you will be an expert in data mining and the use of Weka!

cheers

Ian

Class 3 is now available

The six lessons for Class 3 are now available on the course website:

        https://weka.waikato.ac.nz/moredataminingwithweka

After this week there are 2 weeks to go (classes 4 and 5).

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.

 

Check your Profile 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 Statement of Completion: as we will use that exact text for the Statements.

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 :-)

cheers, and keep going! Weeks 3 and 4 are the central part of this course.

 

Ian