Machine Learning in Finance: From Theory to Practice
| AUTHOR | Halperin, Igor; Dixon, Matthew F.; Bilokon, Paul |
| PUBLISHER | Springer (07/02/2021) |
| PRODUCT TYPE | Paperback (Paperback) |
Description
Chapter 1. Introduction.- Chapter 2. Probabilistic Modeling.- Chapter 3. Bayesian Regression & Gaussian Processes.- Chapter 4. Feed Forward Neural Networks.- Chapter 5. Interpretability.- Chapter 6. Sequence Modeling.- Chapter 7. Probabilistic Sequence Modeling.- Chapter 8. Advanced Neural Networks.- Chapter 9. Introduction to Reinforcement learning.- Chapter 10. Applications of Reinforcement Learning.- Chapter 11. Inverse Reinforcement Learning and Imitation Learning.- Chapter 12. Frontiers of Machine Learning and Finance.
Show More
Product Format
Product Details
ISBN-13:
9783030410704
ISBN-10:
3030410706
Binding:
Paperback or Softback (Trade Paperback (Us))
Content Language:
English
More Product Details
Page Count:
548
Carton Quantity:
14
Product Dimensions:
6.14 x 1.17 x 9.21 inches
Weight:
1.75 pound(s)
Feature Codes:
Illustrated
Country of Origin:
NL
Subject Information
BISAC Categories
Business & Economics | Industries - Computers & Information Technology
Business & Economics | Statistics
Business & Economics | Applied
Descriptions, Reviews, Etc.
publisher marketing
Chapter 1. Introduction.- Chapter 2. Probabilistic Modeling.- Chapter 3. Bayesian Regression & Gaussian Processes.- Chapter 4. Feed Forward Neural Networks.- Chapter 5. Interpretability.- Chapter 6. Sequence Modeling.- Chapter 7. Probabilistic Sequence Modeling.- Chapter 8. Advanced Neural Networks.- Chapter 9. Introduction to Reinforcement learning.- Chapter 10. Applications of Reinforcement Learning.- Chapter 11. Inverse Reinforcement Learning and Imitation Learning.- Chapter 12. Frontiers of Machine Learning and Finance.
Show More
List Price $89.99
Your Price
$89.09