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Machine Learning
Lectures
Lecture 1: Introduction
Lecture 2: Linear models
Lecture 3: Kernel Trick
Lecture 4: Model Selection
Lecture 5. Ensemble Learning
Lecture 6. Data preprocessing
Lecture 7. Bayesian Learning
Lecture 8. Hidden Markov Models
Appendix A: Kernel SVM and Kernel Regression
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