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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The Java Tutorial 6th Ed

Author: Raymond Gallardo, Scott Hommel, Sowmya Kannan and Joni Gordon
Publisher: Addison-Wesley
Pages:864
ISBN:  978-0134034089
Print:0134034082
Kindle:B00QIUP56U
Audience: Intended for Java beginners, but you need to have some programming background
Rating: 3
Reviewer: Alex Armstrong

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How To Create Pragmatic, Lightweight Languages

Author: Federico Tomassetti
Publisher: Leanpub
Pages: 370
Audience: Beginning but aspiring language engineers
Rating: 4
Reviewer: Nikos Vaggalis

A book that makes language design and compilers construction accessible.


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