INTRODUCTION TO DATA SCIENCE
WFAiS UJ, Informatyka Stosowana II stopień studiów
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14/11/2017
This lecture is
based on course by E. Fox and C. Guestrin, Univ of Washington
What is classification?
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Overwiew of content
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Sentiment classifier
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Classifier
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Linear classifiers
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Logistic regression represents probabilities
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Learning „best” classifier
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Overfitting & regularisation
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Decision trees
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Overfitting & decision trees
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Alleviate overfitting by learning simpler trees
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Handling missing data
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Boosting questions
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Boosting using AdaBoost
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Precision - recall
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Scalling to huge dataset & on-line learning
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