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Abhijit Ghatak978-981-10-6808-92017 Edition 1
- Help readers understand the mathematical interpretation of learning algorithms
- Teach the basics of linear algebra, probability, and data distributions and how they are essential in formulating a learning algorithm
- Help readers construct and modify their own learning algorithms, such as ridge and lasso regression, decision trees, boosted trees, k-nearest neighbors, etc
- Includes supplementary material: sn.pub/extras
€419 €37710% OFF