Machine Learning with R
This book helps readers understand the mathematics of machine learning, and apply them in different situations. It is divided into two basic parts, the first of which introduces readers to the theory of linear algebra, probability, and data distributions and it’s applications to machine learning. I...
Κύριος συγγραφέας: | Ghatak, Abhijit (Συγγραφέας) |
---|---|
Συγγραφή απο Οργανισμό/Αρχή: | SpringerLink (Online service) |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Singapore :
Springer Singapore : Imprint: Springer,
2017.
|
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Παρόμοια τεκμήρια
-
Computational Intelligence for Knowledge-Based Systems Design 13th International Conference on Information Processing and Management of Uncertainty, IPMU 2010, Dortmund, Germany, June 28 - July 2, 2010. Proceedings /
Έκδοση: (2010) -
Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Methods 13th International Conference, IPMU 2010, Dortmund, Germany, June 28–July 2, 2010. Proceedings, Part I /
Έκδοση: (2010) -
Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications 13th International Conference, IPMU 2010, Dortmund, Germany, June 28–July 2, 2010. Proceedings, Part II /
Έκδοση: (2010) -
Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence 4th International Conference on Intelligent Computing, ICIC 2008 Shanghai, China, September 15-18, 2008 Proceedings /
Έκδοση: (2008) -
Machine Learning Using R
ανά: Ramasubramanian, Karthik, κ.ά.
Έκδοση: (2017)