Foundations of Machine Learning
2392 Kč 2 480 Kč
Odesíláme do 5 až 7 dní
Sleva až 70% u třetiny knih
A new edition of a graduate-level machine learning textbook that focuses on the analysis and theory of algorithms.
| Autor: | Mohri, Mehryar (New York University); Rostamizadeh, Afshin (Google, Inc.); Talwalkar, Ameet (University of California, B |
| Nakladatel: | MIT Press Ltd |
| ISBN: | 9780262039406 |
| Rok vydání: | 2018 |
| Jazyk : | Angličtina |
| Vazba: | Hardback |
| Počet stran: | 504 |
Mohlo by se vám také líbit..
-
Deep Learning
Kelleher, John D.
-
The Little Schemer
Friedman, Daniel
-
Spotify Teardown
Baaz, Maria Eriksson; Stern, Maria
-
Artificial Unintelligence
Broussard, Meredith
-
Reinforcement Learning
Richard Sutton
-
Machine Learning
Murphy, Kevin P.
-
How Smart Machines Think
Gerrish, Sean
-
Using MPI
Gropp, William
-
The Sciences of the Artificial
Bangert, Simon Herbert
-
The Deep Learning Revolution
Sejnowski, Terrence J. (Francis Crick Professor, Salk Institute for Biological Studies)
-
How AI Is Transforming the Organization
Review, MIT Sloan Management (Paul Michelman)
-
Interactive Task Learning
-
An Introduction to Agent-Based Modeling
Wilensky, Uri; Rand, William
-
From Fingers to Digits
Boden, Margaret A.
-
The Little Typer
Friedman, Daniel
-
Principles of Model Checking
Baier, Christel (Technische Universitat Dresden); Katoen, Joost-Pieter (RWTH Aachen University)