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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Seven Mobile Apps in Seven Weeks

Author: Tony Hillerson
Publisher: Pragmatic Programmer
Pages:360 
ISBN: 978-1680501483
Print:1680501488
Kindle:B01L9W8AQS
Audience: Programmers evaluating mobile
Rating: 4
Reviewer: Ian Elliot

Valuable experience of seven approaches to mobile?



Effective Modern C++

Author: Scott Meyers 
Publisher: O'Reilly 
Pages:336 
ISBN: 978-1491903995
Print:1491903996
Kindle:B00PGCMGDQ
Audience: Expert C++ programmers
Rating: 4
Reviewer: Mike James

Effective modern C++, who wouldn't want to write that?


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