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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Java 9 for Programmers

Author: Paul J. Deitel & Harvey M. Deitel
Publisher: Prentice Hall
Pages: 1120
ISBN: 978-0134777566
Print:  0134777565
Kindle: B071S84XCK
Audience: Programmers moving to Java; students
Rating: 3.5
Reviewed by: Ian Elliot

The latest edition of the Deitel tome on Java has be [ ... ]



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Author: Enrico van de Laar
Publisher: Apress
Pages: 336
ISBN: 978-1484211403
Print: 1484211405
Kindle:B011BALPHO
Audience: DBAs and SQL developers
Rating: 4.5
Reviewer: Ian Stirk

This book aims to troubleshoot problems and improve the performance of SQL Server queries by using Wait Statisti [ ... ]


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