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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Beginning C# 6.0 Programming with Visual Studio 2015

Author: Benjamin Perkins, Jacob Vibe Hammer & Jon D. Reid
Publisher: Wrox
Pages:840
ISBN: 978-1119092117
Print:  1119096685
Kindle: B01AAVMISU
Audience: Complete beginners/ Beginners with OOP background 
Rating: 2/3
Reviewer: Mike James

C# is still impor [ ... ]



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Author: Daniel Sauter
Publisher: Pragmatic Bookshelf
Pages: 392
ISBN: 978-1937785062
Audience: Programmers   
Rating: 3.5
Reviewer: Mike James

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