The book may be a perfect addition to any of the currently available online ML courses (e.g. Coursera "Machine Learning" by Andrew Ng, or Udacity "Intro to Machine Learning" by Sebastian Thrun). The text doesn't go too deep into the conceptual side of the subject and keeps things very simple. That makes it very accessible. All concepts in the book are illustrated with easy to follow examples, which makes the book a valuable resource for self study.
Don't expect becoming an ML expert after reading this book. However it will give a nice overview and enough initial background allowing to dive deeper.
Bottom line: an excellent beginners' book.
ISBN-13: 978-1783988365
ISBN-10: 1783988363
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MarkL
perhaps practical Data Science with R comes closest but if you are looking for a Python view like me then the R usage is a compr
Reviewed in the United Kingdom on February 9, 2016
