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.
-
International Relations in the Cyber...
Choucri, Nazli (Massachusetts Institute of Technology); Clark, David D. (Senior Research Scientist, MIT)
-
A Play of Bodies
Keogh, Brendan
-
#HashtagActivism
Jackson, Sarah
-
Energy and Civilization
Václav Smil
-
Harvesting the Biosphere
Václav Smil
-
MATERIAL WITNESS
Schuppli, Susan (Senior Research Fellow, Goldsmiths, University of London)
-
The Smart Enough City
Sefton-Green, Julian (Deakin University, Australia); Watkins, S Craig; Kirshner, Ben
-
Urban Code
Mikoleit, Anne; Purckhauer, Moritz
-
Atlas of Poetic Botany
Halle, Francis (Professor Emeritus, University of Montpelier)
-
Photo Forensics
Farid, Hany (Professor of Computer Science, Dartmouth College)
-
Spotify Teardown
Baaz, Maria Eriksson; Stern, Maria
-
Enlivenment
Andreas Weber
-
The Sciences of the Artificial
Bangert, Simon Herbert