Tuesday, 10 June 2014

Closing thoughts

The MOOC ended last week with Class 5. It will remain open until the end of Wednesday, 11 June (all time zones). Statements of Completion will be emailed a few days after the course closes. Please check your name (and marks) in the My Profile section of the course website: we will use that name on the Statement of Completion

The course material will remain available up indefinitely at:


under a Creative Commons Attribution 3.0 Unported (CC-BY 3.0) license. Use it however you like! We've also added the music, as an MP3 file, to the course material.

We are planning to re-run Data Mining with Weka beginning on 30 June. If you would like to be a volunteer Community Teaching Assistant for that course then watch out for an announcement about how to participate.

We will also re-run More Data Mining with Weka sometime, not sure when.

A survey about the course is available at:


Please fill it in! The response rate, and your feedback, as well as the course completion rate, will no doubt influence our ability to mount future courses.

Those who have completed this course are now experts on Weka and data mining. One person said "I felt slightly surprised taking this course at how basic my understanding actually was from the first class. Hopefully, there wouldn't be quite as much of this feeling in the next course.” You’re right, the introductory course was rather simplistic, but this one has been thorough. You have learned a lot, and you really are an expert now.

Nevertheless, there is more to be learned! Quite a lot of interest has been expressed in a further course, Advanced Data Mining with Weka. This may happen, but it will not happen soon: I am taking an extended 3-month holiday from the University (and from MOOCs); after that it will take many months to prepare a new MOOC. In the meantime, if you are interested in scripting, there is a new 
Weka wrapper for Python.

You can read more about Waikato's machine learning research group at:


Our publications are listed under the Publications tab.

In the good old days, Weka was an externally funded research project. But that ended long ago. Both Weka and this MOOC are supported entirely by our Department and University. If you think these efforts are worthwhile and would like to support them financially, that would be lovely! Please do so here:


All donations are directed to research: no administrative charges are incurred.

Finally, how about coming to Waikato to study? Our Department's web site at


has links to our research groups, and to graduate student information (MSc and PhD).

Excuse the advertising :-). Hope you had fun with the MOOC. Don't forget the survey. See you again! — perhaps in Advanced Data Mining with Weka.



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