Kniha Understanding Machine Learning Shai Shalev-Shwartz

Understanding Machine Learning

Jazyk: Angličtina
Väzba: Pevná
Dostupnosť: Skladom u dodávateľa v malom množstve
Odosielame za 3-6 dní
70.95
Machine learning is one of the fastest growing areas of computer science, with far-reaching applicat...

Informácie o knihe

Jazyk
Angličtina
Väzba
Kniha - Pevná
Vydalo
2014
Stránok
410
EAN
9781107057135
ISBN
1107057132
Enbook ID
02122827
Hmotnosť
916
Rozmery
261 x 186 x 27

Kompletný popis

Machine learning is one of the fastest growing areas of computer science, with far-reaching applications. The aim of this textbook is to introduce machine learning, and the algorithmic paradigms it offers, in a principled way. The book provides an extensive theoretical account of the fundamental ideas underlying machine learning and the mathematical derivations that transform these principles into practical algorithms. Following a presentation of the basics of the field, the book covers a wide array of central topics that have not been addressed by previous textbooks. These include a discussion of the computational complexity of learning and the concepts of convexity and stability; important algorithmic paradigms including stochastic gradient descent, neural networks, and structured output learning; and emerging theoretical concepts such as the PAC-Bayes approach and compression-based bounds. Designed for an advanced undergraduate or beginning graduate course, the text makes the fundamentals and algorithms of machine learning accessible to students and non-expert readers in statistics, computer science, mathematics, and engineering.

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