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Alpaydin, Ethem

Introduction to machine learning Ethem Alpaydin - Tercera edición - Cambridge, Mass MIT Press 2014 - xix, 613 páginas - Adaptive computation and machine learning .

Machine learning is rapidly becoming a skill that computer science students must master before graduation. The third edition of this title reflects this shift, with added support for beginners, including selected solutions for exercises and additional example data sets (with code available online). Other substantial changes include discussions of outlier detection; ranking algorithms for perceptrons and support vector machines; matrix decomposition and spectral methods; distance estimation; new kernel algorithms; deep learning in multilayered perceptrons; and the nonparametric approach to Bayesian methods. All learning algorithms are explained so that students can easily move from the equations in the book to a computer program. The book can be used by both advanced undergraduates and graduate students. It will also be of interest to professionals who are concerned with the application of machine learning methods. --


Texto en inglés

9780262325745

FRBNF439020900000000 FrPBN


Aprendizaje automático (Inteligencia artificial)
Computadores
Inteligencia artificial

Q325.5 / .A46 2014eb

006.3



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