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Machine learning in finance: From theory to practice.

DIXON Matthew F. ; HALPERIN Igor ; BILOKON Paul

SPRINGER

2020

548

213.20-DIXON

ARTIFICIAL INTELLIGENCE ; ECONOMETRICS ; FINANCIAL MATHEMATICS ; PROBABILITIES


Number of copies : 1
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