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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Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
Paperback. Zustand: Brand New. 264 pages. 9.00x6.00x0.66 inches. In Stock. Bestandsnummer des Verkäufers zk1789729742
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