sau 27894 de puncte. Detalii.
Livrare in 15 zile lucratoare
An aparitie: 2014
Categoria: Applications of computing
Editura: CAMBRIDGE UNIVERSITY PRESS
Format: 260 x 183 x 28 mm
Nr. pagini: 410
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 a theoretical account of the fundamentals underlying machine learning and the mathematical derivations that transform these principles into practical algorithms. Following a presentation of the basics, the book covers a wide array of central topics unaddressed 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 advanced undergraduates or beginning graduates, the text makes the fundamentals and algorithms of machine learning accessible to students and non-expert readers in statistics, computer science, mathematics and engineering.
Livrarea se face din stoc din depozitul de carte Libris, in zilele lucratoare. Transportul este gratuit prin curier rapid, oriunde in Romania, pentru orice comanda de minimum 75 de lei. Pentru orice solicitare apelati call center-ul Libris de luni pana vineri intre orele 8-20.