Video Chapters for CSEP 546, Spring 2012, Lecture 2

ChapterVideo Archive
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Chapter 1: Decision TreesStream, GetGetGet WMV, Get MP4 LaunchGetStart
Chapter 2: What Can a Decision Tree Represent?Stream, GetGetGet WMV, Get MP4 LaunchGetStart
Chapter 3: Growing a Decision TreeStream, GetGetGet WMV, Get MP4 LaunchGetStart
Chapter 4: Accuracy and Information GainStream, GetGetGet WMV, Get MP4 LaunchGetStart
Chapter 5: Learning with Non-Boolean FeaturesStream, GetGetGet WMV, Get MP4 LaunchGetStart
Chapter 6: The Parity ProblemStream, GetGetGet WMV, Get MP4 LaunchGetStart
Chapter 7: Learning with Many-Valued AttributesStream, GetGetGet WMV, Get MP4 LaunchGetStart
Chapter 8: Learning with Missing ValuesStream, GetGetGet WMV, Get MP4 LaunchGetStart
Chapter 9: The Overfitting ProblemStream, GetGetGet WMV, Get MP4 LaunchGetStart
Chapter 10: Decision Tree PruningStream, GetGetGet WMV, Get MP4 LaunchGetStart
Chapter 11: Post-Pruning Trees to RulesStream, GetGetGet WMV, Get MP4 LaunchGetStart
Chapter 12: Scaling Up Decision Tree LearningStream, GetGetGet WMV, Get MP4 LaunchGetStart