Foundations of Machine Learning
2434 Kč 2 523 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..
-
The AI Advantage
Davenport, Thomas H.
-
Reinforcement Learning
Richard Sutton
-
The Promise of Artificial Intelligence
Smith, Brian
-
Spotify Teardown
Baaz, Maria Eriksson; Stern, Maria
-
Real-World Algorithms
Louridas, Panos (Athens University of Economics and Business)
-
Model Checking
Jr., Edmund M. Clarke (Carnegie Mellon University); Grumberg, Orna (Technion); Kroening, Daniel (Oxford University); Pel
-
How Smart Machines Think
Gerrish, Sean
-
Algorithms for Optimization
Kochenderfer, Mykel J.
-
An Introduction to Agent-Based Modeling
Wilensky, Uri; Rand, William
-
Distributed Algorithms
Fokkink, Wan (Professor of theoretical computer science at the Vrije Universiteit Amsterdam, Vrije Universiteit Amsterda
-
Machine Learning
Murphy, Kevin P.
-
Java Precisely
Sestoft, Peter (IT University of Copenhagen); Hansen, Henrik I. (University of Copenhagen)
-
The Software Arts
Sack, Warren (Chair + Professor, University of California, Santa Cruz)
-
How to Design Programs
Felleisen, Matthias
-
Introduction to Static Analysis
Rival, Xavier (Research Director, INRIA Paris-Rocquencourt); Yi, Kwangkeun (Professor, Seoul National University)
-
Types and Programming Languages
Pierce, Benjamin A.