Beyond the Worst-Case Analysis of Algorithms (Cambridge University Press)
Monday, 01 March 2021

Worst-case analysis, the cornerstone of most algorithm courses is where an algorithm is assessed by its worst performance on any input of a given size. The purpose of this book is to popularize several alternatives to worst-case analysis and their most notable algorithmic applications, from clustering to linear programming to neural network training. Tim Roughgarden along with forty leading researchers have contributed introductions to different facets of this field, emphasizing the most important models and results, many of which are suitable for beginners to the concepts of computer science and machine learning.

<ASIN:1108494315>

 

Author: Tim Roughgarden (Editor)
Publisher: Cambridge University Press
Date: February 2021
Pages: 704
ISBN: 978-1108494311
Print: 1108494315
Kindle: B08GGCFMTB
Audience: Developers interested in computer science
Level: Intermediate/Advanced
Category: Theory & Techniques 

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Closure: The Definitive Guide

Author: Michael Bolin
Publisher: O'Reilly, 2010
Pages: 592
ISBN: 978-1449381875
Print: 1449381871
Kindle: B0046RERYI
Audience: Existing and potential users of Closure
Rating: 4
Reviewed by: Mike James 


Closure is Google's very strange JavaScript compiler - does this book succeed in demystify [ ... ]



GANs in Action

Author: Jakub Langr and Vladimir Bok
Publisher: Manning
Date: October 2019
Pages: 240
ISBN: 978-1617295560
Print: 1617295566
Audience: Data professionals with intermediate Python skills
Rating: 4
Reviewer: Mike James
GANs are both fun and potentially profitable. Can you get started with such a slim book [ ... ]


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