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#A Concise Introduction to Machine Learning

1-4
1: Introduction
2: Probability Theory
3: Sampling
4: Linear Classification

5: Non-Linear Classification
6: Clustering
7: Dimensionality Reduction
8: Regression
9: Feature Learning

5: Non-Linear Classification

6: Clustering

7: Dimensionality Reduction

8: Regression

9: Feature Learning