Foundations of Machine Learning
23
%
1669 Kč 2 158 Kč
Sleva až 70% u třetiny knih
Fundamental topics in machine learning are presented along with theoretical and conceptual tools for the discussion and proof of algorithms.
| Autor: | Mohri, Mehryar (New York University); Rostamizadeh, Afshin (Google, Inc.); Talwalkar, Ameet (University of California, B |
| Nakladatel: | MIT Press Ltd |
| ISBN: | 9780262018258 |
| Rok vydání: | 2012 |
| Jazyk : | Angličtina |
| Vazba: | Hardback |
| Počet stran: | 432 |
Mohlo by se vám také líbit..
-
Foundations of Machine Learning
Mohri, Mehryar (New York University); Rostamizadeh, Afshin (Google, Inc.); Talwalkar, Ameet (University of California, B
-
Spotify Teardown
Baaz, Maria Eriksson; Stern, Maria
-
Artificial Unintelligence
Broussard, Meredith
-
Reinforcement Learning
Richard Sutton
-
The Sciences of the Artificial
Bangert, Simon Herbert
-
The Promise of Artificial Intelligence
Smith, Brian
-
Deep Learning
Kelleher, John D.
-
The Deep Learning Revolution
Sejnowski, Terrence J. (Francis Crick Professor, Salk Institute for Biological Studies)
-
Machine Learning
Murphy, Kevin P.
-
Types and Programming Languages
Pierce, Benjamin A.
-
Essential Logic for Computer Science
Page, Rex (Professor (Emeritus), University of Oklahoma); Gamboa, Ruben (University of Wyoming)
-
From Fingers to Digits
Boden, Margaret A.
-
Security Requirements Engineering
Dalpiaz, Fabiano (Assistant Professor, Utrecht University); Paja, Elda (University of Trento); Giorgini, Paolo (Universi
-
The AI Advantage
Davenport, Thomas H.
-
The Little Typer
Friedman, Daniel
-
Introduction to AI Robotics
Murphy Robin
