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43527749
Machine Learning in Finance: From Theory to Practice 1st ed. 2020 Edition
Item #:
43527749
MMK 281980
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Product Details
| Publisher | Springer |
| Publication date | July 2, 2020 |
| Edition | 1st ed. 2020 |
| Language | English |
| Print length | 573 pages |
| ISBN-10 | 3030410676 |
| ISBN-13 | 978-3030410674 |
| Item Weight | 2.05 pounds (930 grams) |
| Dimensions | 6.14 x 1.25 x 9.21 inches (15.6 x 3.2 x 23.4 cm) |
Product Description
Machine Learning in Finance: From Theory to Practice 1st ed. 2020 Edition
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Probability & Statistics Editorial Review
The book "Machine Learning in Finance: From Theory to Practice 1st ed. 2020 Edition" cuts through the hype and provides a discussion on machine learning in finance that is relevant to professionals. The book grounds its discussion in concepts that will be familiar to quants, and has well-designed Python notebooks that present examples of the analysis. The insights on inverse reinforcement learning presented in the book are particularly interesting. The book includes multiple choice questions, exercises, and an extra instructor booklet available to assist in the classroom. The authors demonstrate that the "black boxes" of machine learning are actually fairly intuitive and implementable. Overall, this book is an amazing and comprehensive presentation of many different relevant and useful concepts.
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Pros
- Relevant to professionals
- Grounded in familiar concepts
- Multiple choice questions, exercises, and instructor booklet available
- Well-designed Python notebooks
- Fairly intuitive and implementable concepts
Cons
- First edition is a bit less polished than some may like
Product Price History
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MMK 281980
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