Thoughtful Machine Learning with Python (O'Reilly)
Thoughtful Machine Learning with Python (O'Reilly)
Thursday, 09 March 2017

By teaching you how to code machine-learning algorithms using a test-driven approach, this practical book aims to help you gain the confidence you need to use machine learning effectively in a business environment. The book shows how to dissect algorithms at a granular level, using various tests, and discover a framework for testing machine learning code. The author Matthew Kirk provides real-world examples to demonstrate the results of using machine-learning code effectively.

<ASIN:1491924136>

The book features graphs and highlighted code throughout to guide you through the process of writing problem-solving code, and in the process teaches you how to approach problems through scientific deduction and clever algorithms.

Author: Matthew Kirk
Publisher: O'Reilly
Date: August 2016
Pages: 250
ISBN: 978-1491924136
Print: 1491924136
Kindle: B01N12DLF9
Audience: Python developers wanting to learn machine learning
Level: introductory
Category: Artificial Intelligence

 

 

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Speaking JavaScript

Author: Axel Rauschmayer
Publisher: O'Reilly
Pages: 460
ISBN: 978-1449365035
Print: 1449365035
Kindle: B00INES03O
Audience: JavaScript Programmers
Rating: 4.8
Reviewer: Ian Elliot

If you need a "big book of everything JavaScript" this might be the one you are looking for.



App Inventor 2

Authors:  David Wolber, Hal Abelson, Ellen Spertus and Liz Looney

Publisher: O'Reilly
Pages: 360
ISBN: 9781491906842
Print: 1491906847
Kindle: B00OSKMODE
Audience: Beginner app developers
Rating: 5
Reviewer: Ian Stirk

Do you want to create a mobile app? Or want a gentle introduction to programm [ ... ]


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