Grokking Machine Learning (Manning)
Monday, 17 January 2022

This book shows how to apply Machine Learning to projects using only standard Python code and high school-level math. Luis G. Serrano's hands-on exercises use Python and readily available ML tools, and no specialist knowledge is required to tackle them. Packed with easy-to-follow Python-based exercises and mini-projects, this book sets you on the path to becoming a machine learning expert.

<ASIN:1617295914>

 

Author: Luis G. Serrano
Publisher: Manning
Date: December 2021
Pages: 512
ISBN: 978-1617295911
Print: 1617295914
Kindle: B09L8NNBQ3
Audience: Python developers interested in machine learning
Level: Intermediate/Advanced
Category: Artificial Intelligence

  • Supervised algorithms for classifying and splitting data
  • Methods for cleaning and simplifying data
  • Machine learning packages and tools
  • Neural networks and ensemble methods for complex datasets

 

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Author: Gabriel Gambetta
Publisher: No Starch Press
Pages: 248
ISBN: 978-1718500761
Print: 1718500769
Kindle: B085BVJG5B
Audience: People interested in creating 3D graphics
Rating: 5
Reviewer: Kay Ewbank

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Author: Tomasz Lelek and Jon Skeet
Publisher: Manning
Date: June 2022
Pages: 426
ISBN: 978-1617299209
Print: 1617299200
Audience: C# developers
Rating: 4
Reviewer: Mike James
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