Machine Intelligence: Concepts and Mathematics (Machine Learning) - Tapa blanda

Sinopsis

This self-contained textbook bridges the gap between an informal introduction to machine learning and a rigorous analysis of the concepts and mathematics of machine learning. The book applies the basic mathematical tools for machine learning: linear regression, PCA, support vector machines, and hidden Markov chains to neural networks and reinforcement learning. For students and practitioners with a mathematical background, the derivations in the text help to build intuition and mathematical understanding for many important machine learning concepts.

The book is chosen as a recommended text in the Mathworks academic series on Artificial Intelligence and Machine Learning and was specially featured in the January 2021 MATLAB Digest.

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