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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Machine Learning Q and AI (No Starch Press)

Author: Sebastian Raschka
Publisher: No Starch Press
Date: April 2024
Pages: 264
ISBN: 978-1718503762
Print: 1718503768
Kindle: B0CKKXCK3T
Audience: Developers interested in AI
Rating: 4
Reviewer: Mike James
Q and AI, a play on Q&A is a clever title, but is the book equally clever?



Facilitating Professional Scrum Teams (Pearson)

Author: Patricia Kong, Glaudia Califano and David Spinks
Publisher: Pearson
Pages: 320
ISBN: 978-0138196141
Print: 0138196141
Kindle: B0CLKZC5JM
Audience: Scrum managers
Rating: 5
Reviewer: Kay Ewbank

This book sets out to "Improvement, Effectiveness and Outcomes". How does it fa [ ... ]


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