More Data Mining with Weka
Tags: Association Rules, Clustering, Data Mining with Weka, Online Education, Text Classification, Weka
This online course teaches both principles and practical data mining techniques, lets students work on very big datasets, classify text, experiment with clustering, and much more.
More Data Mining with Weka
This course follows on from Data Mining with Weka and provides a deeper account of data mining tools and techniques. Again the emphasis is on principles and practical data mining using Weka, rather than mathematical theory or advanced details of particular algorithms. Students will work with multimillioninstance datasets, classify text, experiment with clustering, association rules, neural networks, and much more.
The 5week course will begin in late April 2014, with enrolments opening in early March. Students should have completed Data Mining with Weka (which will precede it), or have equivalent knowledge of the subject.
The course features:
For more information, visit:
https://weka.waikato.ac.nz/moredataminingwithweka
This course follows on from Data Mining with Weka and provides a deeper account of data mining tools and techniques. Again the emphasis is on principles and practical data mining using Weka, rather than mathematical theory or advanced details of particular algorithms. Students will work with multimillioninstance datasets, classify text, experiment with clustering, association rules, neural networks, and much more.
The 5week course will begin in late April 2014, with enrolments opening in early March. Students should have completed Data Mining with Weka (which will precede it), or have equivalent knowledge of the subject.
The course features:
 online access to chapters from Data Mining (3rd Edition)
 CCBY videos & slides (see the materials site)
 online assessment leading to a Statement of Completion (example)
 English & Chinese captions on YouTube
For more information, visit:
https://weka.waikato.ac.nz/moredataminingwithweka
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