Notice bibliographique
- Notice
Type(s) de contenu et mode(s) de consultation : Texte noté : sans médiation
Auteur(s) : Moitra, Ankur (1985-....)
Titre(s) : Algorithmic aspects of machine learning [Texte imprimé] / Ankur Moitra,...
Publication : Cambridge : Cambridge university press, copyright 2018
Description matérielle : 1 vol. (VII-151 p.) : ill. ; 23 cm
Note(s) : Bibliogr. p. 143-149
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
Sujet(s) : Apprentissage automatique
Algorithmes
Indice(s) Dewey :
006.310 15181 (23e éd.) = Apprentissage automatique (informatique) - Algorithmes
Identifiants, prix et caractéristiques : ISBN 978-1-316-63600-8 (br.)
Identifiant de la notice : ark:/12148/cb45571111n
Notice n° :
FRBNF45571111
(notice reprise d'un réservoir extérieur)
