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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Discovering Modern C++, 2nd Ed

Author: Peter Gottschling
Publisher: Addison-Wesley
Pages: 576
ISBN: 978-0136677642
Print: 0136677649
Kindle: ‎ B09HTJRJ3V
Audience: C++ developers
Rating: 5
Reviewer: Mike James

Modern C++ who would want to write anything else? Is this a suitable introduction for the rest of us?



Beginning Rust Programming

Author: Ric Messier
Publisher: Wiley
Date: March 2021
Pages: 416
ISBN: 978-1119712978
Print: 1119712971
Kindle: B08WZ2D7WC
Audience: Developers wanting to learn Rust
Rating: 3
Reviewer: Mike James
Everyone seems to want to know what makes Rust special. Does this book give the answers?


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