Machine Learning For Dummies (Wiley)
Friday, 19 February 2021

This book sets out to explain exactly what machine learning is, how to implement it, and which tools are needed.  John Paul Mueller shows how to build predictive models, detect anomalies, and analyze text and images. Unlike most machine learning books, the fully updated 2nd Edition doesn't assume readers have years of experience using programming languages but covers the entry-level materials that will get you up and running building models you need to perform practical tasks.

<ASIN:1119724015>

Author: John Paul Mueller
Publisher: For Dummies
Date: January 2021
Pages: 464
ISBN: 978-1119724018
Print: 1119724015
Kindle: B08SZHJGJW
Audience: General
Level: Introductory/Intermediate
Category: Artificial Intelligence

  • Apply machine learning to real problems
  • Intro to machine learning and AI
  • Big data and algorithms explained
  • Demystifying the math behind AI
  • Many best practice examples
  • Practical uses for machine learning
  • Real-world datasets
  • Ethical approaches to data use

 

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ASP.NET Core in Action, 2nd Ed (Manning)

Author: Andrew Lock
Publisher: Manning
Date:April 2021
Pages: 832
ISBN: 978-1617298301
Print: 1617298301
Audience: Developers interested in ASP.NET
Rating: 4
Reviewer: Ian Elliot
One big book to cover the one big alternative web tech.



Visual Complex Analysis

Author:  Tristan Needham
Publisher: Clarendon Press
Pages: 616
ISBN: 978-0198534464
Print: 0198534469
Kindle: B0BNKJTJK1
Audience: The mathematically able and enthusiastic
Rating: 5
Reviewer: Mike James
What's complex about complex analysis?


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