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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eCommerce in the Cloud

Author: Kelly Goetsch
Publisher: O’Reilly
Pages: 282

ISBN: 978-1491946633
Print: 1491946636
Kindle: B00JW0YOII

Aimed at: IT managers and ‘web architects’ 
Rating: 4

Reviewed by: Kay Ewbank

If you want to learn about scalable ecommerce will this book help you?



Optimized C++

Author:  Kurt Guntheroth
Publisher: O'Reilly
Pages: 388 
ISBN:  978-1491922064
Print: 1491922060
Kindle: B01EVXNWLK
Audience: Experienced C++ programmers
Rating: 5
Reviewer: Mike James

If you think that the one rule about optimization is don't do it then you s [ ... ]


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