First of all, I would say that at least a cursory knowledge of Python would help greatly in grasping and implementing the concepts in this book. The author is obviously quite fixated on Python; thus, code is written in Python, and sample data (as far as I can recall) all Python related.
The book is, however, a pretty good introduction to machine learning. Explanations are clearly laid out and concepts are well explained, making them easy to grasp. While it’s by no means a comprehensive study guide, it should whet your appetite for further study.
My suggestion: Seeing as this book can only cover so much, I feel a list of resources or a bibliography could be a nice addition to future versions. It would be really helpful to have suggestions of further material for a more in-depth study of the topic.
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