---
product_id: 208938479
title: "Machine Learning and Data Science Blueprints for Finance: From Building Trading Strategies to Robo-Advisors Using Python"
price: "R1717"
currency: ZAR
in_stock: true
reviews_count: 13
url: https://www.desertcart.co.za/products/208938479-machine-learning-and-data-science-blueprints-for-finance-from-building
store_origin: ZA
region: South Africa
---

# Machine Learning and Data Science Blueprints for Finance: From Building Trading Strategies to Robo-Advisors Using Python

**Price:** R1717
**Availability:** ✅ In Stock

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- **What is this?** Machine Learning and Data Science Blueprints for Finance: From Building Trading Strategies to Robo-Advisors Using Python
- **How much does it cost?** R1717 with free shipping
- **Is it available?** Yes, in stock and ready to ship
- **Where can I buy it?** [www.desertcart.co.za](https://www.desertcart.co.za/products/208938479-machine-learning-and-data-science-blueprints-for-finance-from-building)

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## Description

Machine Learning and Data Science Blueprints for Finance: From Building Trading Strategies to Robo-Advisors Using Python [Tatsat, Hariom, Puri, Sahil, Lookabaugh, Brad] on desertcart.com. *FREE* shipping on qualifying offers. Machine Learning and Data Science Blueprints for Finance: From Building Trading Strategies to Robo-Advisors Using Python

Review: A practical book with fantastic coverage across many financial applications - This is a "complete" book related to ML and AI in Finance with almost all the applications of ML/AI in finance presented along with case studies and code examples. There are separate chapters dedicated to each ML/AI type and the case studies presented for each are quite useful and intuitive. I was able to leverage the code of the case studies and the master template on the GitHub repo of the book and was able to implement some of the problem statements that I was thinking about for a long time in a couple of hours. With no doubt, one of the best books customized for ML and AI in finance. Highly recommended for folks curious about exploring current and future applications of Machine Learning in Finance from a practical perspective.
Review: A "must have" for finance professionals - This book uses a hands-on and practical approach as opposed to other books in finance and machine learning books that dive deep into the a lot of theory from the start. The book gives you a great deal of context and practical tools for solving all kinds of problems. It is code-focused so you'll have the option to run working code on real problems throughout the book. The coverage of this book is extensive. It covers almost everything that is needed for someone to know about machine learning is finance. The book deals with the content in a very practical manner without too unnecessary equations. But, does so without diluting the intensity.

## Technical Specifications

| Specification | Value |
|---------------|-------|
| Best Sellers Rank | #1,085,726 in Books ( See Top 100 in Books ) #172 in Machine Theory (Books) #314 in Data Modeling & Design (Books) #762 in Python Programming |
| Customer Reviews | 4.4 4.4 out of 5 stars (95) |
| Dimensions  | 7 x 0.75 x 9 inches |
| Edition  | 1st |
| ISBN-10  | 1492073059 |
| ISBN-13  | 978-1492073055 |
| Item Weight  | 2.31 pounds |
| Language  | English |
| Print length  | 429 pages |
| Publication date  | December 15, 2020 |
| Publisher  | O'Reilly Media |

## Images

![Machine Learning and Data Science Blueprints for Finance: From Building Trading Strategies to Robo-Advisors Using Python - Image 1](https://m.media-amazon.com/images/I/81c3R3zHCwL.jpg)

## Customer Reviews

### ⭐⭐⭐⭐⭐ A practical book with fantastic coverage across many financial applications
*by R***H on December 28, 2020*

This is a "complete" book related to ML and AI in Finance with almost all the applications of ML/AI in finance presented along with case studies and code examples. There are separate chapters dedicated to each ML/AI type and the case studies presented for each are quite useful and intuitive. I was able to leverage the code of the case studies and the master template on the GitHub repo of the book and was able to implement some of the problem statements that I was thinking about for a long time in a couple of hours. With no doubt, one of the best books customized for ML and AI in finance. Highly recommended for folks curious about exploring current and future applications of Machine Learning in Finance from a practical perspective.

### ⭐⭐⭐⭐⭐ A "must have" for finance professionals
*by A***S on January 8, 2021*

This book uses a hands-on and practical approach as opposed to other books in finance and machine learning books that dive deep into the a lot of theory from the start. The book gives you a great deal of context and practical tools for solving all kinds of problems. It is code-focused so you'll have the option to run working code on real problems throughout the book. The coverage of this book is extensive. It covers almost everything that is needed for someone to know about machine learning is finance. The book deals with the content in a very practical manner without too unnecessary equations. But, does so without diluting the intensity.

### ⭐⭐⭐ Linear regression illustrated incorrectly
*by A***N on February 18, 2021*

I’m sorry but the book does not get very basic concept right. Look at Figure 4.2!

## Frequently Bought Together

- Machine Learning and Data Science Blueprints for Finance: From Building Trading Strategies to Robo-Advisors Using Python
- Artificial Intelligence in Finance: A Python-Based Guide
- Python for Algorithmic Trading: From Idea to Cloud Deployment

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*Product available on Desertcart South Africa*
*Store origin: ZA*
*Last updated: 2026-03-07*