Like the other two Weka MOOCs, this draws on the resources of the Machine Learning Group in the Department of Computer Science at the University of Waikato. It covers:
- time series forecasting; data stream mining
- inter-operability with R; scripting Weka in Python and Groovy
- distributed processing with Apache SPARK and Hadoop
- application case studies
This is advanced stuff, and you need to be an experienced Weka user before starting. The format is the same as for the earlier courses, and again you will do most of your learning in the Activities, although whether you get a Statement of Completion depends solely on your how well you do in the mid-class and end-of-class assessments.
There’s more information about the course in the trailer video: it’s informative, entertaining, and only about 4 minutes long.
By the time you have finished this course you will be an advanced expert on the use of Weka. Enrol at:
Ian & the Weka Team