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[ BOOK MATLAB DEEP LEARNING: WITH MACHINE LEARNING, NEURAL NETWORKS AND ARTIFICIAL INTELLIGENCE by PHIL KIM OVERVIEW ]

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Get started with MATLAB for deep learning and AI with this in-depth primer. In this book, you start with machine learning fundamentals, then move on to neural networks, deep learning, and then convolutional neural networks. In a blend of fundamentals and applications, MATLAB Deep Learning employs MATLAB as the underlying programming language and tool for the examples and case studies in this book.
With this book, you'll be able to tackle some of today's real world big data, smart bots, and other complex data problems. You’ll see how deep learning is a complex and more intelligent aspect of machi


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Book ID Asin: 1484228448
Book Title: MATLAB Deep Learning: With Machine Learning, Neural Networks and Artificial Intelligence
Book Author: Phil Kim
Book Format and Price:
Book Format Name: Kindle
Book Format Price: $11.50-$23.74
Book Format Name: Paperback
Book Format Price: $53.99
Book Price: $53.99
Book Category: Books, Computers & Technology, Computer Science and unknown
Book Rating: 38 ratings

MATLAB Deep Learning: With Machine Learning, Neural Networks and Artificial Intelligence by Phil Kim Book Review

Name: Gakatal
Rating: 4.0 out of 5 stars
Title: .0 out of 5 stars Fundamentals of neural networks
Date: Reviewed in the United States on January 3, 2018
Review: I am completely new to machine learning. This book is a good for those who wants taste of machine learning (especially Deep Learning). But if you want to build a cool face recognizing software, this is not a good book to buy.

Basically this book explains terminology, methods of neural network with examples in MATLAB; technically MATLAB is not a good software to build a machine learning programs. MATLAB is a just massive calculator/simulator. On the other hand, MATLAB can simulate how neural networks work easily with few lines of code.

Overall, this book is a good book for machine learning newbies. If you already know fundamentals move on to other books, not this book. Also the price is too expensive than what is supposed to be. $40 is too much for this.

I am giving 4 out of 5 because I cannot give 3.5 out of 5.

Name: Laike
Rating: 4.0 out of 5 stars
Title: .0 out of 5 stars Practical
Date: Reviewed in the United States on June 14, 2021
Review: Good for people who have basic ML knowledge and excellent hands on !

Name: Jeff
Rating: 4.0 out of 5 stars
Title: .0 out of 5 stars Good entry level for Machine Learning, Neural Network and Deep Learning
Date: Reviewed in the United States on May 12, 2019
Review: Easy to read and very concise guide to let you understand the concept of Machine Learning, the limitation of Neural Network and its relationship between Deep Learning. By running the given Matlab source codes, user can gain hand on experience in this field.

Name: Manuelin
Rating: 5.0 out of 5 stars
Title: .0 out of 5 stars Great book
Date: Reviewed in the United States on February 15, 2018
Review: This was a great book, very complete in the subject, I recommend it to anyone who wants to start in the subject.

Name: Cliente de Amazon
Rating: 5.0 out of 5 stars
Title: .0 out of 5 stars Buen producto, lo recomiendo.
Date: Reviewed in the United States on July 18, 2019
Review: Todo en orden y sin problema. Lo recomiendo.

Name: dc
Rating: 5.0 out of 5 stars
Title: .0 out of 5 stars Very clear Matlab examples that are helpful
Date: Reviewed in the United States on May 8, 2019
Review: A really excellent book. I highly recommend it.

Name: Prof. M H Burton
Rating: 1.0 out of 5 stars
Title: .0 out of 5 stars Shallow and disappointing.
Date: Reviewed in the United States on November 18, 2019
Review: This book is for persons with very little mathematical skill and no knowledge of neural networks or deep learning. The reader will come away with a nodding acquaintance with some topics but with no real knowledge. The book is very shallow. The chapter on convolutional networks does not have a definition of convolution. I was hugely disappointed.

Name: Hayong Yun
Rating: 5.0 out of 5 stars
Title: .0 out of 5 stars Five Stars
Date: Reviewed in the United States on December 26, 2017
Review: Great book!

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