Fundamentals of Machine Learning for Predictive Data Analytics
2082 Kč 2 158 Kč
Sleva až 70% u třetiny knih
A comprehensive introduction to the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications.
| Autor: | Kelleher, John D. |
| Nakladatel: | MIT Press Ltd |
| ISBN: | 9780262029445 |
| Rok vydání: | 2015 |
| Jazyk : | Angličtina |
| Vazba: | Hardback |
| Počet stran: | 624 |
Mohlo by se vám také líbit..
-
Deep Learning
Kelleher, John D.
-
Data Science
Kelleher, John D.
-
AQA GCSE Music Listening Tests
Kelleher, John D.
-
The Promise of Artificial Intelligence
Smith, Brian
-
Spotify Teardown
Baaz, Maria Eriksson; Stern, Maria
-
Artificial Unintelligence
Broussard, Meredith
-
Reinforcement Learning
Richard Sutton
-
The Sciences of the Artificial
Bangert, Simon Herbert
-
The Deep Learning Revolution
Sejnowski, Terrence J. (Francis Crick Professor, Salk Institute for Biological Studies)
-
Machine Learning
Murphy, Kevin P.
-
Foundations of Machine Learning
Mohri, Mehryar (New York University); Rostamizadeh, Afshin (Google, Inc.); Talwalkar, Ameet (University of California, B
-
Types and Programming Languages
Pierce, Benjamin A.
-
Algorithms for Optimization
Kochenderfer, Mykel J.
-
From Fingers to Digits
Boden, Margaret A.
-
Essential Logic for Computer Science
Page, Rex (Professor (Emeritus), University of Oklahoma); Gamboa, Ruben (University of Wyoming)
-
Security Requirements Engineering
Dalpiaz, Fabiano (Assistant Professor, Utrecht University); Paja, Elda (University of Trento); Giorgini, Paolo (Universi
