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Machine Learning and Data Science Blueprints for Finance: From Building Trading Strategies to Robo-Advisors Using Python : Tatsat, Hariom, Puri, Sahil, Lookabaugh, Brad: desertcart.ae: Books Review: It's arrived at the time, but the book in black color, the color of graf and code it's not nice!!! - Without colors Review: 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.
| Best Sellers Rank | #115,771 in Books ( See Top 100 in Books ) #169 in Web Programming #183 in Databases & Big Data #253 in Computer Programming Languages |
| Customer reviews | 4.3 4.3 out of 5 stars (47) |
| Dimensions | 17.78 x 1.91 x 22.86 cm |
| Edition | 1st |
| ISBN-10 | 1492073059 |
| ISBN-13 | 978-1492073055 |
| Item weight | 1.05 Kilograms |
| Language | English |
| Print length | 429 pages |
| Publication date | 30 November 2020 |
| Publisher | O'Reilly Media |
A**B
It's arrived at the time, but the book in black color, the color of graf and code it's not nice!!!
Without colors
R**H
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.
R**L
A comprehensive guide for a beginner-intermediate python skill level. Written categorically and makes you actually think through the code rather than just copy pasting it. Word of advice for beginners, on page 17, replace ‘data’ with dataset and remove ‘names=names’ that should rid your ’variable not defined’ and ‘int not defined iloc’ error. Great purchase, gonna be spending a lot of time on it.
R**N
I only read so far the chapter 5, it is the best book ever I read on ML and finance. It covers complete ML spectrum and application in Finance. It will be my only ONE go-to book for reviewing ML algorithms and time series forecast. I will provide more feedback once I finish the book. Thank you Hariom and other co-authors.
Z**B
Prompt delivery and book delivered in great condition. The contents of the book covers a wide range and it's quite comprehensive giving thorough explanantions on something new. Quite a few case studies per chapter covering supervised to unsupervised and AI techniques. From derivative pricing to asset management quite a bit has been covered. Very happy with this
K**R
The copy I received from Amazon UK is black and white. Can't even read the images and charts properly.
Trustpilot
1 month ago
1 month ago