Data Science and Machine Learning
2646 Kč
Sleva až 70% u třetiny knih
The purpose of this book is to provide an accessible, yet comprehensive, account of data science and machine learning. It is intended for anyone interested in gaining a better understanding of the mathematics and statistics that underpin the rich variety of ideas and machine learning algorithms in data science--
| Autor: | Rubinstein, Reuven Y.; Kroese, Dirk P. |
| Nakladatel: | Taylor & Francis Ltd |
| ISBN: | 9781138492530 |
| Rok vydání: | 2019 |
| Jazyk : | Angličtina |
| Vazba: | Hardback |
| Počet stran: | 510 |
Mohlo by se vám také líbit..
-
The Art of Game Design
Schell, Jesse
-
Game Engine Architecture, Third Edition
Jason Gregory
-
Risk Assessment and Decision Analysi...
Fenton, Norman (School of Electronic Engineering and Computer Science, Queen Mary University of London, UK); Neil, Marti
-
3ds Max Modeling for Games
Andrew Gahan
-
Official (ISC)2 (R) Guide to the ISS...
-
The Game Audio Strategy Guide
Zdanowicz, Gina; Bambrick, Spencer
-
Official (ISC)2 Guide to the CSSLP C...
Beatrica Čulmanová; Danica Pauličková
-
Big Data
Sarangi, Saswat; Sharma, Pankaj
-
Sound Reproduction
Toole, Floyd E.
-
An Introduction to Systems Biology
Alon, Uri
-
Designing Audio Power Amplifiers
Cordell, Bob
-
Flash Advertising
Fincanon, Jason
-
Designing Audio Effect Plugins in C++
Pirkle, Will (Assistant Professor of Music Engineering Technology, University of Miami)
-
Mix Smart
Case, Alex (Assistant Professor of Sound Recording Technology at the University of Massachusetts. Alex Case is an active
-
Dungeons and Desktops
Barton, Matt
-
Games As A Service
Clark, Oscar