The Art of Statistics (Basic Books)
Friday, 10 September 2021

In this book, subtitled "How to Learn from Data", David Spiegelhalter shows how to apply statistical reasoning to real-world problems. Whether he's analyzing preventative medical screening or the terrible crime sprees of serial killers, Spiegelhalter shows how to clarify questions, assumptions, and expectations and, most importantly, how to interpret the answers we receive. The book combines expert insights with the enthusiasm of an aficionado, in what sets out to be the definitive guide to the power of data.

<ASIN:1541675703>

 

Author: David Spiegelhalter
Publisher: Basic Books
Date: August 2021
Pages: 448
ISBN: 978-1541675704
Print: 1541675703
Audience: Data scientists
Level: Intermediate
Category: Data Science

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Large-Scale C++, Volume I

Author: John Lakos
Publisher: Addison-Wesley
Pages: 988
ISBN: 978-0201717068
Print: 0201717069
Kindle: B0826523GZ
Audience: Programmers with plenty of time to spare
Rating: 3
Reviewer Mike James:
Large Scale C++, what can this mean?



Artificial Intelligence, Machine Learning, and Deep Learning (Mercury Learning)

Author: Oswald Campesato
Publisher: Mercury Learning
Date: February 2020
Pages: 300
ISBN: 978-1683924678
Print: 1683924673
Kindle: B084P1K9YP
Audience: Developers interested in machine learning
Rating: 4
Reviewer: Mike James

Another AI/ML book - is there room for another one?


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