Data Mining with Weka: Welcome to "Data Mining with Weka"

Welcome to the course "Data Mining with Weka". The six lessons for Class 1 are now available on the course website

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.

The course includes the following resources:

the Weka software; Lesson 1.2 gives downloading instructions (we are using version 3.6.11)
videos, one per lesson, on YouTube
the videos include captions (English and Chinese), which can be turned on in YouTube
we recommend viewing in HD format, again a YouTube control
slides used in the videos (PDF format)
text files containing transcripts of the videos
activities that follow each lesson
access to selected excerpts from Data Mining (3rd Edition) - plus you can buy a discounted copy from the publisher
mid-course assessment (opens 24 April, in Week 2)
final assessment (opens 15 May, in Week 5)
announcement forum, blog, twitter feed (available from the course website)
discussion forum: 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.

for Chinese participants:

one version with captions in Chinese (another with English captions is available on our Youku channel)

Some notes for participants:

work through the videos and activities at your own pace, in your own time
a new class appears every week; old classes will remain available until the course closes

in theory, you could leave all your learning to the last week (we don't recommend this!)

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)
only the mid-course and final assessments count towards the Statement of Completion
feel free to install Weka in advance, but please ensure that you have version 3.6.11
if you already know something about Weka, feel free to skip the first class (or two)
during the videos, it may help to follow with Weka on your own computer ("click along with Ian")
the course should take 2–3 hours/week (3–4 hours if you do the optional reading)
you can download the materials from http://www.cs.waikato.ac.nz/ml/weka/mooc/dataminingwithweka/

Please help us by filling out the pre-course survey if you have not already done so.

cheers, and good luck

Ian

PS
any previous students who wish to volunteer as Community Teaching Assistants are also welcome:
http://wekamooc.blogspot.co.nz/2014/06/volunteer-community-teaching-assistants.html

Data Mining with Weka