Description
| Product ID: | 9781492073055 |
| Product Form: | Paperback / softback |
| Country of Manufacture: | US |
| Title: | Machine Learning and Data Science Blueprints for Finance |
| Subtitle: | From Building Trading Strategies to Robo-Advisors Using Python |
| Authors: | Author: Brad Lookabaugh, Sahil Puri, Hariom Tatsat |
| Page Count: | 428 |
| Subjects: | Finance and the finance industry, Finance, Database design and theory, Machine learning, Database design & theory, Machine learning |
| Description: | Select Guide Rating Over the next few decades, machine learning and data science will transform the finance industry. With this practical book, analysts, traders, researchers, and developers will learn how to build machine learning algorithms crucial to the industry. |
| Imprint Name: | O'Reilly Media |
| Publisher Name: | O'Reilly Media |
| Country of Publication: | GB |
| Publishing Date: | 2020-11-30 |
