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Your Starter Guide for Data Management, Model Training, Neural Networks, Machine Learning Algorithms

Machine Learning: For Beginners, Book 1
Narrated by: Jacob Ford
Length: 1 hr and 41 mins
Categories: Non-fiction, Technology
3 out of 5 stars (2 ratings)

Non-member price: $9.68

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Publisher's Summary

Discover and learn all about machine learning. This audiobook covers the basic and fundamental subjects on machine learning and its application.

Are you clueless about what machine learning is about?

Have you ever wonder how a machine (Deep Blue) can beat Garry Kasparov, a reigning world champion in chess? Do you know that a handful of Fortune 500 companies are using machine learning in new creative ways? 

Machine learning has been around for more than a decade and yet its usage is still in its infancy and innovating in an interesting way. Companies are investing heavily in machine learning and are reaping generous rewards. Some of their products have become an essential part of our daily activities such as the navigation systems in our vehicles.

In this audiobook, you will learn about the basics of machine learning and its applications, which is the fundamental block of artificial intelligence.

  • Learn about the three types of machine learning 
  • Learn about the machine learning algorithms such as KNN
  • Discover the machine learning tools that you can use 
  • Learn about data acquisition and data management
  • Learn about model training, validation, and application
  • Learn how neural networks work and usage
  • And much more

Even if you feel that you may know some of the subjects discussed here, be open and give this book a chance. You may find a new perspective, learn something new, and pick up some valuable tools. It's written in an informative way for easy listening.

©2017 Ken Richards (P)2017 Ken Richards

What members say

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Awful

The book is awful. It's clearly a "fill the pages" book, with material that's been yanked off various parts of the web.

For example one chapter talks about the importance of backups, and various media that can be used eg USB keys (!!) Then another chapter dives into complex mathematical concepts with no introduction or background.

Makes me wonder where some of the other reviews are coming from.

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  • Amazon Customer
  • 27-06-2018

The worst kind of too-brief summary

Concepts are listed and summarized in such a brief form that only someone already familiar with the concepts would understand what is being said, and then would learn nothing new. It reads like a Cliff notes, not explaining anything in sufficient depth to understand anything unfamiliar. Get a real book instead!

1 of 1 people found this review helpful

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  • Sam
  • 09-08-2019

Too general

Facebook ads no real value, it's basically just a Wikipedia copy paste in my opinion. It does nothing but make you angry that you're not actually learning anything. books like this should be outlawed. It seems like it's just an easy way for authors to make money on a subject they probably themselves don't even know anything about.

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    5 out of 5 stars
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  • Mark Allen Chase
  • 25-10-2018

very informative for new folks

Nice description of the components of machine learning. Good overview for beginners. I'll continue to book 2.

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  • Flem
  • 04-04-2018

Essential

I’m a beginner in this area, but thanks to this clear guide as it has tackled on the variety of machine learning tools to create ML models. I now understood how big companies uses ML and make money out of it.

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  • Eunice Yarbo
  • 03-04-2018

One of th ebest ML guides to check.

After listening to this, I just found out how ML is extremely useful to the online biz world. It’s one good overview of the ML, its applications, the algorithms, and so much more! Although I think it will be cooler if there were any comparisons provided.

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  • Tiffany
  • 12-02-2018

Packed Full of Useful Information!

What did you love best about Your Starter Guide for Data Management, Model Training, Neural Networks, Machine Learning Algorithms?

I think this book is great for Adults to have as a handbook for either themselves, or those interested in the material. (like my nephew) You can sound educated, and be helpful lol Especially with the up and coming generation!

Was this a book you wanted to listen to all in one sitting?

Yes, I wanted to listen once all the way through, then be able to refer to it as needed.

Any additional comments?

As I said, lots of information packed into a short amount of time which is great for me.I tend to zone out listening to these types of books, but the Narrator did a good job, and held my attention!

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  • Kimmy
  • 08-02-2018

good briefing

Machine Learning for Beginners: Your Starter Guide for Data Management, Model Training, Neural Networks, Machine Learning Algorithms by Ken Richards is an educative tool that will brief you on the basics and the applications ML is used in. I pretty much appreciate how Ken Richards used simplified terms to explain everything. I still can’t believe how big ML’s work encompasses especially how it helps companies work compatibly with users.

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  • chen
  • 08-02-2018

This is an excellent book

Any additional comments?

I enjoyed the way the author makes Machine Learning accessible to a novice like me. For anyone who is interested in learning the terminology and scope of approaches that comprise machine learning, this book is current, concise, and informative.

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  • hannah bile
  • 06-02-2018

Useful guide for the beginner's.

It is very informative and the author has explained it in a simplified way, making it very friendly for beginners. . This book causes me an impressive measure and appreciate what machine acknowledging is and how it's used as a piece of this present reality.

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  • lia
  • 06-02-2018

A great book to read to learn machine learning

I liked this book very much and I found it very informative and useful. This definitely written in a context for beginners which is easy to understand. These and other pertinent information on Machine Learning are concisely presented in this book. The author does a great job of making a complex topic seem easy.