Fun Q (Vector Sigma)
Monday, 03 August 2020

Subtitled, "A Functional Introduction to Machine Learning in Q", this book shows how to use q to implement well-known machine-learning algorithms. Author Nick Psaris breaks each algorithm into its basic building blocks and then rebuilds it from scratch. Well-known machine-learning data sets are used to motivate each chapter as advanced q idioms are introduced. Using nothing but the q binary, the book shows how to download data sets, generate plots in the q terminal and get progress-bar-style feedback as model parameters iteratively improve.

<ASIN:1734467509>

Author: Nick Psaris
Publisher: Vector Sigma
Date: July 2020
Pages: 415
ISBN: 978-1734467505
Print: 1734467509
Audience: Developers interested in machine learning using q
Level: Intermediate
Category: Artificial Intelligence 

 

funq

 

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Pages: 583
ISBN: 9781942788294
Print: 1942788290
Kindle: B078Y98RG8
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Reviewer: Sanjay Kanade

 

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Pages: 272
ISBN: 978-0198743040
Print: 0198743041
Kindle: B075ZZRH3M
Audience: Anyone interested in physics
Rating: 4.5
Reviewer: Mike James

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