Free PDF , by Thomas Farth
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, by Thomas Farth
Free PDF , by Thomas Farth
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Product details
File Size: 1362 KB
Print Length: 103 pages
Simultaneous Device Usage: Unlimited
Publication Date: March 4, 2019
Sold by: Amazon Digital Services LLC
Language: English
ASIN: B07PFF5LTF
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Amazon Best Sellers Rank:
#460,717 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
This is so great book and I so love on how it was written. Too simple however it gives us a great understanding. This book provides a good introduction into deep learning while providing general yet concise details regarding the sub-fields of the topic.Very good at going over the basic concepts. I hope they release another book covering some of the other areas.This book causes me to profoundly make a few information investigation effectively. This is absolutely the best one.
I am a practitioner of mathematical modeling with different methods. I always believed the nature can and did give us a lot inspiration for scientific discovery and the neural network borrowed the idea from biological neural structure. But this book demonstrated how extensively our progress in neurobiology and artificial intelligence directly derived from biological study of organic structure.
This book have a lot information about machine learning but no just that also have a good vision about deep learning and a lot of tips.
This is an informative book for developing Machine Learning Skills. This book author well information share in this book. I am carefully read this book overall great. I can know about lots of things Machine Learning. I am happy to read this book. Thanks for the author.
This is the most pathetic excuse for a book I have seen in years. It reads as if a graduate student spent an hour researching AI on Wikipedia and then published his notes with a few paragraphs thrown in for good measure. I feel robbed that I bought this book. I WANT MY MONEY BACK!
Awful book , awful grammar, mostly lifted from wikipedia articles and other writers' work. But so many five-star reviews written within a few days of each other. It's almost as if they've been paid for.
This book gives a concise course in the most imperative general standards, that connected all through whatever remains of the book.
This book is a comprehensive guide for beginners. Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it learn for themselves. The process of learning begins with observations or data, such as examples, direct experience, or instruction, in order to look for patterns in data and make better decisions in the future based on the examples that we provide. The primary aim is to allow the computers learn automatically without human intervention or assistance and adjust actions accordingly. overall it is informative guide and easy to understand. I recommended!
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