Machine Learning For Dummies

Gives you a good understanding of what machine learning is and is not.

This book is filled with information that gives a solid foundation for understanding Machine learning.

The author chose to place hyper-links directly in-line rather than use footnotes. This decision results in increased difficulty when attempting to read the book. For example, it seems that every paragraph early in the book has links to external resources or products, each listed with a full URL within the text. It's nearly impossible to read without your reading flow "interrupted". Not sure I can continue reading, may have to put this down.

Not for dummies at all! Too much into technical programming

I was looking for a simple overview of machine learning but this book was opaque to me. The first question a dummy like me would ask is, "What are some simple examples of how machine learning works?" Instead the book spends about a hundred pages on how to set up machine learning on your computer. Another hundred plus pages are spent on statistical methods. Finally at the end is a single real life example involving product recommendations. You can look at this web page to see the state of the art there.After reading 260 pages of this book, I gave up with the sneaking suspicion that machine learning is an academic fad that will run its course in a year or two. But don't mark my words, after all, I'm a dummy.

I needed this book to solid the fundamentals for Machine Learning and this book is the right choice for me. I loved it.I just have one comment that I wish they were able to improve the material for the book cover it is very easy to get scratched.

Not clear enough to be considered a good bookHad to resort to many blog posts to get a better explained view of different ML concepts, which is not satisfactory

The number of links that are not working is high. The feather-format of the datasets in the massaron repository are problematic: in my conda version the necessary feather package does not install, thus the dataset are not usable as written in the book.

Contrary to what is anounced in the book the examples of programs are not downloadable from the editor's website. This added to the poor proofreading of the examples printed in the book, and not many guidance, makes their use cumbersome, andfor sure you will get expertise in debugging before mastering the subject.There was quite an effort for covering many aspects of machine reading, from a tutorial for Python to overview of libraries, but I find the choosen examples superficial and not anymore linked to the latest evolution in the domain.