The Art of Statistics: How to Learn from Data (Basic Books)
Friday, 06 September 2019

In this book, well-known statistician David Spiegelhalter shows readers how to derive knowledge from raw data by focusing on the concepts and connections behind the math. Drawing on real world examples to introduce complex issues, he shows us how statistics can help us determine the luckiest passenger on the Titanic, whether a notorious serial killer could have been caught earlier, and if screening for ovarian cancer is beneficial. The book shows how anyone can think like a statistician, learning how to clarify questions, assumptions, and expectations when approaching a problem, and -- perhaps even more importantly -- how to responsibly interpret the answers we receive.

<ASIN:1541618513>

 

 

Author: David Spiegelhalter
Publisher: Basic Books
Date: September 2019
Pages: 448
ISBN: 978-1541618510
Print: 1541618513
Audience: People interested in data
Level: Intermediate
Category: Data Science

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Data Structures and Algorithms in C++: Pocket Primer

Author: Lee Wittenberg
Publisher: Mercury Learning
Pages: 200
ISBN: 978-1683920847
Print: 1683920848
Kindle: B071CMSFHF
Audience: Student developers
Rating: 4
Reviewer: Mike James
Data structures are the core of many a computer science course and a book explaining them in C++ is a great idea.

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C# 6 for Programmers

Authors: Paul and Harvey Deitel
Publisher: Prentice Hall
Pages: 400

ISBN: 978-0134596327
Print: 0134596323
Kindle: B01KI6RG20
Audience: Intermediate programmers
Rating: 3
Reviewer: Ian Elliot
C# is undergoing a revival since going open source. Now is a good time to learn it.


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