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sau 13165 de puncte. Detalii.
Livrare in 15 zile lucratoare
Cod: BRT9781316636008
An aparitie: 2019
An aparitie: 2018
Autor: Ankur Moitra
Categoria: General theory
Editie: necartonata
Editura: CAMBRIDGE UNIVERSITY PRESS
Format: 228 x 152 x 10 mm
Limba: English
Nr. pagini: 158
This book bridges theoretical computer science and machine learning by exploring what the two sides can teach each other. It emphasizes the need for flexible, tractable models that better capture not what makes machine learning hard, but what makes it easy. Theoretical computer scientists will be introduced to important models in machine learning and to the main questions within the field. Machine learning researchers will be introduced to cutting-edge research in an accessible format, and gain familiarity with a modern, algorithmic toolkit, including the method of moments, tensor decompositions and convex programming relaxations. The treatment beyond worst-case analysis is to build a rigorous understanding about the approaches used in practice and to facilitate the discovery of exciting, new ways to solve important long-standing problems.
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 90 de lei. Pentru orice solicitare apelati call center-ul Libris de luni pana vineri intre orele 8-20.
