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it contribute to me no real data. in 2min search on Google I would get more.
What disappointed you about Machine Learning & Markov Models?
I stopped after the beginning of chapter 3 once I read a review from another person who returned this book, after they reached chapter 5, for the same reason. This book contains a list of terms, definitions, and algorithms and explains them in a very dry way. I was hoping for an explanation of what machine learning is and maybe even how it is used. This book provided a brief overview of that, but then went into harsh detail about the types of algorithms associated with machine learning.
My initial thought before purchasing this book was - if this book were to dive into detail, which it did, it would probably do so in a way where the information could be learned audibly, which it didn't. This is probably a great book to read, but I wouldn't recommend it for listening.
Would you ever listen to anything by William Sullivan again?
Probably not. It seems his books are more meant to be read.
You didn’t love this book... but did it have any redeeming qualities?
It was incredibly informative. It's just simply that the knowledge contained isn't easily absorbed in an audible fashion.
For what it is, a brief, nontechnical overview of the field of machine learning, including a discussion of employment opportunities and online courses, this s short audible book is terrific.
The book has some math. Once again, I think this is included to alert a beginner that understanding and working with math is mandatory to work in this field. The author lists job titles and salary ranges for jobs in the data science/machine learning fields.q