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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R in 24 Hours

Author: by Andy Nicholls, Richard Pugh, Aimee Gott
Publisher: Sams 
Pages:624 
ISBN: 978-0672338489
Print:0672338483
Kindle:B019G7U25U
Audience: Budding data scientists
Rating: 4
Reviewer: Mike James

R is important so learning it is important.



Making Sense of NoSQL

Authors: Don McCreary & Ann Kelly
Publisher: Manning
Pages: 312
ISBN: 978-1617291074
Aimed at: Software architects and technical managers
Rating: 3.5
Reviewed by: Kay Ewbank

NoSQL is getting a lot of attention. What exactly is it? Where does it fit in?


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