Build Your Own AI Investor, 2nd Ed (ValueInvestingAI)
Friday, 26 March 2021

Using Machine Learning and Python, this books set out to show how build an AI investing machine that will use AI to monitor the stock market and provide stock picks for the year. The book looks at what value investing is, how to frame the stock selection problem in a quantitative way, and how to use machine learning algorithms on stock market data. Author Damon Lee is careful to point out that this isn't financial advice. Rather, this is an educational book teaching data analysis tools for financial information.

<ASIN:183813221X>

The blurb states:

"While we don't recommend betting your savings on the basis of this book, it is an interesting look at how AI is used in finance."

The second edition has had additions to content, with improved clarity of code, formatting, text explanations and the AI is updated for 2021 stock selection onwards.

Author: Damon Lee
Publisher: ValueInvestingAI
Date: March 2021
Pages: 248
ISBN: 978-1838132217
Print: 183813221X
Kindle: B08Y95J61S
Audience: Python developers interested in AI and finance
Level: Intermediate/Advanced
Category: Artificial Intelligence and Python

 

For recommendations of Python books see Books for Pythonistas and Python Books For Beginners in our Programmer's Bookshelf section.

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Pro Database Migration to Azure

Author: Kevin Kline et al
Publisher: Apress
Pages: 352
ISBN: 978-1484282298
Print: 1484282299
Kindle: B0B924H21P
Audience: Managers & architects
Rating: 4
Reviewer: Ian Stirk

This book aims to give you a holistic approach to migrating on-premise databases to Azure, how does it fare?



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Author: Brad Williams, Justin Tadlock, John James Jacoby
Publisher: Wrox
Pages: 480
ISBN: 978-1119666943
Print: 1119666945
Kindle: B0899MW9CP
Audience: WordPress developers
Rating: 4.5
Reviewer: Kay Ewbank

The authors of this book are well-known in the WordPress world, with more than 100 published plug [ ... ]


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