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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Google Power Search

Author: Stephan Spencer
Publisher: Koshkonong
Pages: 138
ISBN: 978-0999284704
Print: 0999284703
Kindle: B076HF5R4P
Audience: Everyone!
Rating: 4.5
Reviewer: Ian Stirk

This book aims to improve your Google searches, how does it fare?



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Author: Nikolay Elenkov
Publisher: No Starch Press
Pages: 432
ISBN: 9781593275815
Print: 1593275811
Kindle: B00P8DRZWA
Audience: Competent Android developers
Rating: 5
Reviewer: Mike James

We need to know about Android security - but a whole book dedicated to it? Can this be a go [ ... ]


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