---
product_id: 182403800
title: "Machine Learning in Finance: From Theory to Practice"
price: "฿6677"
currency: THB
in_stock: true
reviews_count: 13
url: https://www.desertcart.co.th/products/182403800-machine-learning-in-finance-from-theory-to-practice
store_origin: TH
region: Thailand
---

# Machine Learning in Finance: From Theory to Practice

**Price:** ฿6677
**Availability:** ✅ In Stock

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- **What is this?** Machine Learning in Finance: From Theory to Practice
- **How much does it cost?** ฿6677 with free shipping
- **Is it available?** Yes, in stock and ready to ship
- **Where can I buy it?** [www.desertcart.co.th](https://www.desertcart.co.th/products/182403800-machine-learning-in-finance-from-theory-to-practice)

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## Description

desertcart.com: Machine Learning in Finance: From Theory to Practice: 9783030410674: Dixon, Matthew F., Halperin, Igor, Bilokon, Paul: Books

Review: Best technical book on machine learning - The authors cut through the hype and rebranding that litters the field of machine learning. They discuss models that are relevant to finance. Most importantly for professionals, they ground their discussion in concepts that will be familiar to statisticians and numerical analysts (quants, in other words). Some of the work presented in this book is new, particularly the sections on inverse reinforcement learning. This will be an excellent resource for a graduate course. Those students who do not have the math background will likely be motivated to get it. There are well-designed Python notebooks that present examples of the analysis. Students with the ability to work with the concepts presented in this book would be welcome in any serious quant shop.
Review: Great book. Congratulations to the authors! - An amazing and comprehensive presentation of many different relevant and useful concepts. The finance industry -- trading, asset management, risk management, banking, etc -- is most likely going to look much different in the not too distant future and much of this change is going to come from applications of this book's concepts. The authors also do a great job of demonstrating that these "black boxes" are actually not mysterious and overly complicated but rather fairly intuitive and implementable. If anyone has ever seen the movie "AlphaGO" and was wondering how that type of paradigm shift would apply to finance, the next step is to buy this book.

## Technical Specifications

| Specification | Value |
|---------------|-------|
| Best Sellers Rank | #972,743 in Books ( See Top 100 in Books ) #202 in Business Statistics #504 in Statistics (Books) #979 in Probability & Statistics (Books) |
| Customer Reviews | 4.5 4.5 out of 5 stars (114) |
| Dimensions  | 6.14 x 1.25 x 9.21 inches |
| Edition  | 1st ed. 2020 |
| ISBN-10  | 3030410676 |
| ISBN-13  | 978-3030410674 |
| Item Weight  | 2.05 pounds |
| Language  | English |
| Print length  | 573 pages |
| Publication date  | July 2, 2020 |
| Publisher  | Springer |

## Images

![Machine Learning in Finance: From Theory to Practice - Image 1](https://m.media-amazon.com/images/I/61BkCx3ZdxL.jpg)

## Customer Reviews

### ⭐⭐⭐⭐⭐ Best technical book on machine learning
*by A***G on January 7, 2021*

The authors cut through the hype and rebranding that litters the field of machine learning. They discuss models that are relevant to finance. Most importantly for professionals, they ground their discussion in concepts that will be familiar to statisticians and numerical analysts (quants, in other words). Some of the work presented in this book is new, particularly the sections on inverse reinforcement learning. This will be an excellent resource for a graduate course. Those students who do not have the math background will likely be motivated to get it. There are well-designed Python notebooks that present examples of the analysis. Students with the ability to work with the concepts presented in this book would be welcome in any serious quant shop.

### ⭐⭐⭐⭐⭐ Great book. Congratulations to the authors!
*by F***L on July 26, 2020*

An amazing and comprehensive presentation of many different relevant and useful concepts. The finance industry -- trading, asset management, risk management, banking, etc -- is most likely going to look much different in the not too distant future and much of this change is going to come from applications of this book's concepts. The authors also do a great job of demonstrating that these "black boxes" are actually not mysterious and overly complicated but rather fairly intuitive and implementable. If anyone has ever seen the movie "AlphaGO" and was wondering how that type of paradigm shift would apply to finance, the next step is to buy this book.

### ⭐⭐⭐⭐⭐ The (new) standard texbook on machine learning in finance
*by D***U on July 29, 2020*

Brand new but I anticipate this will become THE textbook on the subject that many instructors will use to teach around the world. The book nicely builds up throughout the chapters. I find it great to include multiple choice questions, exercises and an extra instructor booklet available to assist in the classroom. And what a great idea to share Python code to make it all that more practical! I find the insights on inverse reinforcement learning particularly interesting.

## Frequently Bought Together

- Machine Learning in Finance: From Theory to Practice
- Advances in Financial Machine Learning
- Machine Learning for Algorithmic Trading: Predictive models to extract signals from market and alternative data for systematic trading strategies with Python, 2nd Edition

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*Store origin: TH*
*Last updated: 2026-04-30*