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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ISBN: 978-0137645541
Print: 0137645546
Kindle: B09WLF84W7
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Publisher: No Starch Press
Pages: 248
ISBN: 978-1718500761
Print: 1718500769
Kindle: B085BVJG5B
Audience: People interested in creating 3D graphics
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