Free Ebook Machine Learning: The Absolute Beginner’s Guide To Learn And Understand Machine Learning Effectively
Free Ebook Machine Learning: The Absolute Beginner’s Guide To Learn And Understand Machine Learning Effectively
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Machine Learning: The Absolute Beginner’s Guide To Learn And Understand Machine Learning Effectively
Free Ebook Machine Learning: The Absolute Beginner’s Guide To Learn And Understand Machine Learning Effectively
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Product details
Paperback: 50 pages
Publisher: CreateSpace Independent Publishing Platform; 1 edition (June 29, 2018)
Language: English
ISBN-10: 1722120568
ISBN-13: 978-1722120566
Product Dimensions:
6 x 0.1 x 9 inches
Shipping Weight: 4.5 ounces (View shipping rates and policies)
Average Customer Review:
4.0 out of 5 stars
28 customer reviews
Amazon Best Sellers Rank:
#963,516 in Books (See Top 100 in Books)
One page in, and not at all an expert myself, I could see that there were misstatements and misrepresentations. And it only got worse. Then I checked back to see who this guy was and what the deal was. Here's what I found (in part) on the copyright page: " . . . purchasing this book can be seen as consent to the fact that both the publisher and the author of this book are in no way experts on the topics discussed within and that any recommendations or suggestions that are made herein are for entertainment purposes only." WTF? *Entertainment purposes*? What, is this a novel? When I buy a technical book, I'm actually looking for accuracy. Not only are the publisher and the author not experts, looks like they didn't both to get the material reviewed by any experts either.
I am a beginner to machine learning and this guide came to me in right time, language is easy to understand, chapter three helped me to understand basics of Deep learning, chapter four is all about algorithms, it makes it some how easier for me to get start with machine learning.
This is really a good book if you are new in machine learning. I read about what machine learning is, about the disadvantages and advantages, and how much we need it in the future. Of course, every beginner should identify with the phrase "artificial intelligence" is probably the first term!
Just wasn't detailed enough appeared hastily put together. The book by Theobald of the same title is significantly more worth your time.
Show progression of his art and a human aspect not seen very often. Worth reading if for no other reason than giving more context to the Silo series.
Nice introduction but at times the author uses jargon and other places a more fundamental explanations of the underlying math of the algorithms and approaches could be useful. Some summary tables or appendix material for those who want to dig deeper would help.
This was not a book but more like a pamphlet. It had introductory information but took it no further. Was useless.
Gives an idea about ML but doesnt go in depth. Not much quality in the book so wont recommend it to anyone interested in real learning
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