Machine Learning for Asset Managers
529 Kč 549 Kč
Expedice za 2 až 3 dny
Sleva až 70% u třetiny knih
The purpose of this Element is to introduce machine learning (ML) tools that can help asset managers discover economic and financial theories. ML is not a black box, and it does not necessarily overfit. ML tools complement rather than replace the classical statistical methods.
| Autor: | De Prado, Lopez |
| Nakladatel: | Cambridge University Press |
| ISBN: | 9781108792899 |
| Rok vydání: | 2020 |
| Jazyk : | Angličtina |
| Vazba: | Paperback / softback |
| Počet stran: | 152 |
Mohlo by se vám také líbit..
-
Advances in Financial Machine Learning
De Prado, Lopez
-
Mining of Massive Datasets
Leskovec, Jure (Stanford University, California); Rajaraman, Anand; Ullman, Jeffrey David (Stanford University, Californ
-
Learning Scientific Programming with ...
Hill, Christian
-
A Hands-On Introduction to Data Science
Shah, Chirag (University of Washington)
-
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
-
Purely Functional Data Structures
Okasaki, Chris (Columbia University, New York)
-
A First Course in Random Matrix Theory
Bouchaud, Jean-Philippe (Centre Commissariat ... l'Energie Atomique (CEA), Saclay); Potters, Marc
-
Industry Unbound
Waldman, Ari Ezra (Northeastern University, Boston)
-
Bandit Algorithms
Lattimore, Tor (University of Alberta); Szepesvari, Csaba (University of Alberta)
-
How to Write Good Programs
Stevens, Perdita
-
Machine Learning with Neural Networks
Mehlig, Bernhard (Goeteborgs Universitet, Sweden)
-
Sentiment Analysis
Liu, Bing
-
The Discrete Mathematical Charms of P...
Applegate, David L.; Bixby, Robert E.; Chvatal, Vasek; Cook, William J.
-
Integer Linear Programming in Comput...
Gusfield, Dan (University of California, Davis)
-
Cambridge International AS & A L...
Piper, Tony