Book Content
chapters • 5h24m total length
1. First step towards supervised learning
2. Implementing parametric models
3. Working with non-parametric models
4. Advanced topics in supervised machine learning
A supervised learning task infers a function from flagged training data and maps an input to an output based on sample input-output pairs. In this book, you will learn various machine learning techniques (such as linear and logistic regression) and gain the practical knowledge you need to quickly and powerfully apply algorithms to new problems.
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chapters • 5h24m total length
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