Data Mining Topics

The topic list shows the material of each class and the corresponding chapters of the textbook.
January 8 Course overview     ---
January 10 Introduction Chapter 1
January 15 Concept learning Chapter 2
January 17 Concept learning
January 22 Concept learning
January 24 Concept learning
January 29 Concept learning
January 31 Concept learning
February 5 Decision trees Chapter 3
February 7 Decision trees
February 12 Decision trees
February 14 Decision trees
February 19 Decision trees
February 26 Decision trees
February 28 MIDTERM    ---
March 5 Decision trees
March 7
.		 Decision trees
Neural networks
Chapter 4
March 19 Neural networks
March 21 Neural networks
March 26 Neural networks
March 28 Neural networks
April 2 Neural networks
April 4 Neural networks
April 9
.		 Neural networks
Evaluating hypotheses
Chapter 5
April 11 Evaluating hypotheses
April 16 Evaluating hypotheses
April 18 Evaluating hypotheses
April 23 Evaluating hypotheses
April 25 FINAL EXAM    ---
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