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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Author: Dmitry Jemerov and Svetlana Isakova
Publisher: Manning
Pages: 360
ISBN: 978-1617293290
Print: 1617293296
Rating: 4.5
Reviewer: Mike James

Kotlin is suddenly a very important language. This is one of our most popular book reviews of 2017 revisited in case you missed it.



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Publisher: Manning
Pages: 344 
ISBN: 9781617291951
Print: 1617291951
Audience: Intermediate JavaScript programmers
Rating: 4
Reviewer: Ian Elliot
 

Big JavaScript applications are possible and important and this book aims to give you the techniques and tools you [ ... ]


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