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Publisher's Summary

Three comprehensive manuscripts in one audiobook.

  • Machine Learning: An Essential Guide to Machine Learning for Beginners Who Want to Understand Applications, Artificial Intelligence, Data Mining, Big Data and More
  • Neural Networks: An Essential Beginners Guide to Artificial Neural Networks and Their Role in Machine Learning and Artificial Intelligence
  • Deep Learning: An Essential Guide to Deep Learning for Beginners Who Want to Understand How Deep Neural Networks Work and Relate to Machine Learning and Artificial Intelligence

Here are some of the topics that are discussed in part one of this audiobook:

  • What is machine learning?
  • What’s the point of machine learning?
  • History of machine learning
  • Neural networks
  • Matching the human brain
  • Artificial intelligence
  • AI in literature
  • Talking, walking robots
  • Self-driving cars
  • Personal voice-activated assistants
  • Data mining
  • Social networks
  • Big Data
  • Shadow profiles
  • Biometrics
  • Self-replicating machines
  • And much, much more!

Here are some of the topics that are discussed in part two of this audiobook:

  • Programming a smart(er) computer
  • Composition
  • Self-driving neural networks
  • Taking everyone’s job
  • Quantum leap in computing
  • Attacks on neural networks
  • Neural network war
  • Ghost in the machine
  • No backlash
  • And much, much more

Here are some of the topics that are discussed in part three of this audiobook:

  • Improving the scientific method
  • How it all started
  • Appeasing the rebellious spirits
  • Evolving the machine brain
  • The future of deep learning
  • Medicine with the help of a digital genie
  • And much, much more

So listen to this audiobook now if you want to learn more about machine learning!

©2018 Herbert Jones (P)2018 Herbert Jones

What listeners say about Machine Learning

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  • Brad
  • 18-12-2018

10% Technology 90% Why it’s bad

I purchased this book to learn about how AI, big data, data mining, etc. works. What I received was hours of technophobia and explanations of why no one should use the internet (and something about nano-bots destroying the world, I think), written in the form of a high school research paper.

While a section on ethics should be included in any literature about the use of technology, the title leads the buyer to believe that they will gain knowledge and understanding about the mechanics of AI - they will not.

I am thankful that Audible allowed me to return this book.

16 people found this helpful

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  • Ryan
  • 14-12-2018

Global Warming?

I am a bit shocked at the claim of “we don’t really know what causes global warming” towards the end. It’s factually untrue.

9 people found this helpful

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  • Cliente de Amazon
  • 24-12-2018

Very shallow

I was excited about this book, but found it to be very shallow. I only listened to part I, and lost patience. It uses the same examples as many other books, but their discussion falls short. I will return this book.

6 people found this helpful

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  • Odin
  • 22-01-2019

Just watch a dozen YouTube videos instead

Pretty low level and at times naive interpretations of covered topics. Facebook topics were decent.

4 people found this helpful

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  • erol ricardo
  • 22-05-2019

Not educational at all

First time I write a full review and feel sad that is a bad one however the title of this book is deceiving when compered to the context. Save your time and money by skipping this title

2 people found this helpful

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  • Ivan Viola
  • 07-08-2020

Never buy a book from this author

This author does not know anything about science, and definitively nothing about machine learning. It was a mistake to buy this book, the guy is just a technophobe. His level are conspirators and antivac promoters.

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  • satishr
  • 21-01-2020

Highly recommend for all levels

This is a well-explained book on Deep Learning which covers a broad range of AI topics easily and engagingly. The writer does an excellent job of introducing, weaving together, then using concepts in an instantly usable way.

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  • bmorrow
  • 21-01-2020

A piece of knowledge

This book is a piece of knowledge and technique, it includes all you need to know and gives you a very welcome general & general view of the field, and most of all.I strongly recommend this.

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  • DouglassSottile
  • 21-01-2020

Nice book

Improve yourself now and try those techniques are being discussed in this book to achieve the benefits of power posing.

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    5 out of 5 stars
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  • ShardaOrchard
  • 21-01-2020

Great buy.

I liked the style of the chapters with the summary and the ever growing list of key concepts.I highly recommend this book to all!

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  • JP
  • 02-02-2019

fails the Turing test

No informational content that you couldn't get from general media articles. Gave up on the neural networks book as it sounded like the author didn't really know what a neutral network is.

1 person found this helpful

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  • Colin H
  • 10-01-2019

Not a bad intro, but fairly superficial

Pretty good as an introductory overview, with a few interesting insights along the way. Not especially advanced and doesn't really explain how any of the stuff really works, so if you're looking for details, try elsewhere. This is more about applications of machine learning with a bit of futurology thrown in.

1 person found this helpful

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  • Milan Topalov
  • 27-01-2019

It is as informative as The Sun tabloid

You will find out a few interesting facts, but the remaining 85% of the book is just pure speculation. Author sounds like he read a few books on the topic, as opposed to being an expert. Book title is misleading, probably for marketing reasons. Book is mainly about AI developments and big data. Having said that, it was not total waste of time, but was kinda fun. Just like The Sun tabloid.

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  • Thomas H.
  • 27-01-2019

Misleading

I was hoping to learn something about machine learning but instead this book is a long series of unproven rants about privacy. The title is very misleading, the book very disappointing

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    1 out of 5 stars
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  • Matthew clarke
  • 20-01-2019

Repetitive, with little substance

All three authors repete the others statments. Most of what is said is conjecture. Alot of assumed correlation not factoring in the wider science.

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  • Darzi Jesse
  • 09-11-2018

My First Experience

This is indeed my first experience to listen to a book about machine learning and it is really good one. I would like to recommend this book.

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  • Sienna
  • 09-11-2018

BEST OF ALL

Machine learning is not a simple topic to learn about but, this author has made it so. I loved it.

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  • H.Mohammad
  • 09-11-2018

Very Informative

I have learned a lot from it and will continue to go through it to learn even more from it as it does tend to become more lucid the more I go through it.

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  • Rubi L
  • 09-11-2018

Comprehensive One

If you are interested in learning Machine Learning or wish to strengthen your understanding, you might be tempted to acquire this book. However, I will urge you to postpone such an impulse after considering the following:

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  • Alice Sarah
  • 09-11-2018

Very Impressive

I'm experienced data miner and this book is really helpful. It might seem tough for newbies though. But very useful if you are trying to figure out pros and cons of different methods.

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