Machine learning in finance: From theory to practice.
DIXON Matthew F. ; HALPERIN Igor ; BILOKON Paul
2020
548
213.20-DIXON
ARTIFICIAL INTELLIGENCE ; ECONOMETRICS ; FINANCIAL MATHEMATICS ; PROBABILITIES
No. | Call n° | Bar code | Commentary | |
---|---|---|---|---|
1 | [available] |
Comment :
ISBN 13 : 978-3-030-41070-4
Contents :
Part I Machine Learning with Cross-Sectional Data
Chapitre 1 Introduction
Chapitre 2 Probabilistic Modeling
Chapitre 3 Bayesian Regression and Gaussian Processes
Chapitre 4 Feedforward Neural Networks
Chapitre 5 Interpretability
Pat II Sequential Learning
Chapitre 6 Sequence Modeling
Chapitre 7 Probabilistic Sequence Modeling
Chapitre 8 Advanced Neural Networks
Part III Sequential Data with Decision-Making
Chapitre 9 Introduction to Reinforcement Learning
Chapitre 10 Applications of Reinforcement Learning
Chapitre 11 Inverse Reinforcement Learning and Imitation Learning
Chapitre 12 Frontiers of Machine Learning and Finance
Nbre volumes : 0
Language : English
Location : Nice Library
Statement : Présent
Owner : Bibliothèque