Boosting
1134 Kč
Sleva až 70% u třetiny knih
An accessible introduction and essential reference for an approach to machine learning that creates highly accurate prediction rules by combining many weak and inaccurate ones.
| Autor: | Schapire, Robert E. (Principal Researcher, Microsoft Research); Freund, Yoav (Professor, University of California, San D |
| Nakladatel: | MIT Press Ltd |
| ISBN: | 9780262526036 |
| Rok vydání: | 2014 |
| Jazyk : | Angličtina |
| Vazba: | Paperback |
| Počet stran: | 544 |
Mohlo by se vám také líbit..
-
Deep Learning
Kelleher, John D.
-
Spotify Teardown
Baaz, Maria Eriksson; Stern, Maria
-
Artificial Unintelligence
Broussard, Meredith
-
Reinforcement Learning
Richard Sutton
-
The Promise of Artificial Intelligence
Smith, Brian
-
The Deep Learning Revolution
Sejnowski, Terrence J. (Francis Crick Professor, Salk Institute for Biological Studies)
-
Machine Learning
Murphy, Kevin P.
-
Introduction to AI Robotics
Murphy Robin
-
Handbook of Game-Based Learning
-
Mathematics of Big Data
Kepner, Jeremy; Jananthan, Hayden
-
Introduction to Natural Language Pro...
Eisenstein, Jacob (Assistant Professor, 20 Aloha Street)
-
The Sciences of the Artificial
Bangert, Simon Herbert
-
Real-World Algorithms
Louridas, Panos (Athens University of Economics and Business)
-
Value Sensitive Design
Friedman, Batya (University of Washington); Hendry, David G. (Associate Professor, University of Washington)
-
Types and Programming Languages
Pierce, Benjamin A.
-
International Relations in the Cyber...
Choucri, Nazli (Massachusetts Institute of Technology); Clark, David D. (Senior Research Scientist, MIT)
