인공지능 및 기계학습

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Chapter 1. Motivations and Basics

Chapter 2. Fundamentals of Machine Learning

Chapter 3. Naive Bayes Classifier

1. Optimal Classification

2. Conditional Independence

3. Naive Bayes Classifier

4. Naive Bayes Classifier Application (Matlab Code)

Chapter 4. Logistic Regression

Chapter 5. Support Vector Machine

Chapter 6. Training Testing and Regularization