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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Date: January 2021
Pages: 192
ISBN: 978-1840789195
Print: 1840789190
Kindle: B08NF958NM
Audience: Non-programmers wanting to learn to code in Go
Rating: 5
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Pages: 248
ISBN: 978-1718501188
Print: 1718501188
Kindle: B08CTFY4JP
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Rating: 4.5
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