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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Android Security Internals

Author: Nikolay Elenkov
Publisher: No Starch Press
Pages: 432
ISBN: 9781593275815
Print: 1593275811
Kindle: B00P8DRZWA
Audience: Competent Android developers
Rating: 5
Reviewer: Mike James
Reviewed: February 2015

Over the festive season IProgrammer gives its reviewers a well-deser [ ... ]



Professional C# 6 and .NET Core 1.0

Author: Christian Nagel
Publisher: Wrox
Pages:1536
ISBN: 978-1119096603
Print: 111909660X
Kindle:B01DRDK5MY
Audience: Intermediate C# programmers wanting to keep up-to-date

Rating: 4
Reviewer: Mike James

A book on .NET Core is welcome given how much confusion there is.


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