Corresponding Book Chapters
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Mapping the recommended textbook chapters to the major course topics are as follows:
| Topic |
Alpaydin 2014 |
Murphy 2012 |
Shwartz/David 2014 |
| Introduction | 1 | 1 | 1 |
| Probability Theory | - | 2 | - |
| Theory of Learning | 2 | 6 | 2, 3, 5, 6 |
| MLE and MAP | 4 | 3 | 24 |
| Classification by Bayes | 3, 4 | 3 | 24 |
| KNN and Decision Tree | 8, 9 | 16 | 18, 19 |
| Linear Regression | - | 7 | 9 |
| Logistic Regression, SVM | 10, 13 | 8, 14 | 9, 15 |
| Dimensionality Reduction | 6 | 12 | 23 |
| Neural Networks | 11, 12 | 28 | 20 |
| Clustering | 7 | 25 | 22 |
| Performance Improvement | 17 | 16 | 10 |