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An Introduction to Statistical Machine Learning ... - Samy Bengio

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<strong>Introduction</strong> <strong>to</strong> <strong>Machine</strong> <strong>Learning</strong><br />

1. What is <strong>Machine</strong> <strong>Learning</strong><br />

2. Why is it difficult<br />

3. Basic Principles<br />

(a) Occam’s Razor<br />

(b) <strong>Learning</strong> as a Search Problem<br />

4. Types of Problems<br />

(a) Regression<br />

(b) Classification<br />

(c) Density Estimation<br />

5. Applications<br />

6. Documentation<br />

<strong>Introduction</strong> <strong>to</strong> <strong>Machine</strong> <strong>Learning</strong> 2

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