Data-Driven Science and Engineering
1983 Kč
Odesíláme do 5 až 7 dní
Sleva až 70% u třetiny knih
Data-driven discovery is revolutionizing the modeling, prediction, and control of complex systems. Aimed at advanced undergraduate and beginning graduate students, this textbook provides an integrated viewpoint that shows how to apply emerging methods from data science, data mining, and machine learning to engineering and the physical sciences.
| Autor: | Duriez, Thomas; Brunton, Steven L.; Noack, Bernd R. |
| Nakladatel: | Cambridge University Press |
| ISBN: | 9781108422093 |
| Rok vydání: | 2019 |
| Jazyk : | Angličtina |
| Vazba: | Hardback |
| Počet stran: | 492 |
Mohlo by se vám také líbit..
-
Machine Learning Control - Taming No...
Duriez, Thomas; Brunton, Steven L.; Noack, Bernd R.
-
Mining of Massive Datasets
Leskovec, Jure (Stanford University, California); Rajaraman, Anand; Ullman, Jeffrey David (Stanford University, Californ
-
Machine Learning with Neural Networks
Mehlig, Bernhard (Goeteborgs Universitet, Sweden)
-
Quantum Computing for Computer Scien...
Yanofsky, Noson S.
-
Data Mining and Machine Learning
Zaki, Mohammed J.
-
Foundations of Data Science
Blum, Avrim; Hopcroft, John (Cornell University, New York); Kannan, Ravi
-
Purely Functional Data Structures
Okasaki, Chris (Columbia University, New York)
-
Model-Based Clustering and Classific...
Bouveyron, Charles; Celeux, Gilles; Murphy, T. Brendan (University College Dublin); Raftery, Adrian E. (University of Wa
-
Learning Scientific Programming with ...
Hill, Christian
-
Industry Unbound
Waldman, Ari Ezra (Northeastern University, Boston)
-
A Hands-On Introduction to Data Science
Shah, Chirag (University of Washington)
-
The Discrete Mathematical Charms of P...
Applegate, David L.; Bixby, Robert E.; Chvatal, Vasek; Cook, William J.
-
Bandit Algorithms
Lattimore, Tor (University of Alberta); Szepesvari, Csaba (University of Alberta)
-
How to Write Good Programs
Stevens, Perdita
-
Game Theory Basics
Von Stengel, Rudiger
-
Mathematics for Machine Learning
Deisenroth, Marc Peter (University College London); Faisal, A. Aldo (Imperial College London); Ong, Cheng Soon