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  • Machine Learning for Beginners 2019: The Ultimate Guide to Artificial Intelligence, Neural Networks, Predictive Modelling, and Python

  • Including Data Mining Algorithms and Its Applications for Finance, Business and Marketing
  • By: Matt Henderson
  • Narrated by: Jeffrey Michael Bella
  • Length: 3 hrs and 8 mins
  • Unabridged Audiobook
  • Categories: Computers & Technology, Computer Science
  • 4.6 out of 5 stars (19 ratings)

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Summary

Want to predict what your customers want to buy without them having to tell you? Want to accurately forecast sales trends for your marketing team better than any employee could ever do? Then keep reading.

You’ve heard it before. The rise of artificial intelligence and how it will soon replace human beings and take away our jobs. What exactly is it capable of and how does this impact me? The real question you should be asking yourself is how can I use this to my advantage? How can I use machine learning to benefit my business and surpass my business goals? This book has the answer. 

Designed for the tech novice, this book will break down the fundamentals of machine learning and what it truly means. You will learn to leverage neural networks, predictive modelling, and data mining algorithms, illustrated with real-world applications for finance, business and marketing.

Machine learning isn’t just for scientists or engineers anymore. It’s become accessible to anyone, and you can discover it’s benefits for your business. 

In Machine Learning for Beginners 2019, we will reveal:

  • The fundamentals of machine learning. 
  • Each of the buzzwords defined! 
  • 20 real-world applications of machine learning.
  • How to predict when a customer is about to churn (and prevent it from happening).
  • How to "upsell" to your customers and close more sales.
  • How to deal with missing data or poor data.
  • Where to find free datasets and libraries.
  • Exactly which machine learning libraries you need.
  • And much much more!

I know you might be overwhelmed at this point, but I assure you this book has been designed for absolute beginners. Everything is in plain English. There is no code, so no coding experience is required. You won’t walk away a machine learning god, but you will walk away with key strategies you can implement right away to improve your business. 

Scroll up and listen now!

©2019 Matt Henderson (P)2019 Matt Henderson

What listeners say about Machine Learning for Beginners 2019: The Ultimate Guide to Artificial Intelligence, Neural Networks, Predictive Modelling, and Python

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Really useful for business people

Really useful for business people who look to understand the architecture and engineering concepts behind the technology that's dominating the IT scene. could do with some additional in-depth explanation of some architectural concepts. overall, I found it very informative.

1 person found this helpful

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Machine Learning

Excellent audio book. This is a very good introduction to machine learning and data analysis.
I think the 2019 part of the title should be removed as this audio book is still up to date in 2021.
Allround very enlightening and highly recommended.

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Did not find it very useful

I don't think the content of the book really lived up to what the title promised. Parts of the book were read like a list which is a hard to comprehend format as an audiobook.

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I encourage all students to pick up a copy

I encourage all students to pick up a copy and this book rigorously and clearly defines the key terms in Machine Learning and you will also find explanations of the core concepts of machine learning algorithms and enough math and images to consolidate your understanding and i encourage people to read this book.

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The material in this book really

The material in this book really work as an audiobook. I would only recommend this is you have a print or ebook to follow along.

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Great book, lots of great information.

Great book, lots of great information. Had a considerable amount of mathematics with numerous variables interacting with each other in equations.

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Detailed it is

Detailed it is! Had a good grasp of neural networks and its applications. Among the lessons imparted, I like the part decision trees and how it affects machine learning.

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Very easy listen

Very easy listen. If you are wanting to learn more this subject, I would highly recommend. Highly recommend.

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I’m contented with this audio piece

I’m contented with this audio piece and appreciated machine learning more than ever. Listened to it the entire hour and didn’t get disappointed.

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This book is a short quick guide

This book is a short quick guide that gives an overview of data science that distinguishes machine learning from data mining, artificial intelligence, etc. A very recommendable guide that is solely for beginners to understand and follow.

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  • Jesper
  • 12-09-19

Misleading title: not about ML

The book was 10% ML and the rest was just a bunch of random ”fluff”.

5 people found this helpful

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  • Maddie
  • 23-05-19

Ultimate Guide?

This book was a high level overview of machine learning and a few of its applications. The book did a fine job of explaining what machine learning is and why it is becoming important to society.

Make no mistake however, this short book is not an ultimate guide to anything. It is short and lacks detail.

This book also lacked an editor. It read like a high school senior project, full of grammatical errors and hard to even listen to at times.

If you want a short book to learn the conversational points of machine learning this might be the book for you, but if you are looking for an ultimate guide look someplace else.

5 people found this helpful

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  • Fannie Buser
  • 15-06-19

The instructor goes into coding

Eery hands on. The instructor goes into coding and i like this way. You simply get much more out of the book. If you are completely new to neural networks i would recommend to check out this audiobook first. It helped me to really understand how neural networks work behind code

4 people found this helpful

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  • Vinnie Atlanta
  • 09-07-20

Waste of time. Below Average. Full of Fluff.

The book uses acronyms and fancy big words in trying to be smart. This book is from the perception of a marketing or some sort of business development person. Talking about technical things using big words that sound good but make no sense. I'm in the a computer engineer in I.T. field for 25 years, I know what technical and technology book should sound like. This book talks a lot about common sense stuff in marketing and lots of theories. All theories works when you talk about it. But doesn't work most of the time.
After you listen to a chapter you will wonder what did you just heard and completely forgot it because it didn't say anything.
This is a not an AI technical book. Not a book about AI. It is a book about marketing and AI and full fluff that sound good but saying nothing. A waste of my time.

1 person found this helpful

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  • Steve
  • 31-05-21

Good if you know nothing.

Very baseline overview. Broad stroke introduction to the existence of AI and ML and where it is applied. No substance into the actual application of or instruction to AI or ML. Good if you know absolutely nothing about AI or ML, not good if you are looking for an Ultimate Guide to AI, Nueral Networks, Predictive Modeling, or Python. Again, just states that they exist, nothing more.

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    3 out of 5 stars
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  • Travis L.
  • 29-09-20

For beginners, uh no.

My word, this was for beginners of acronyms. So full of jargon and acryonyms it was overwhelming. A broad over view but, you have to know a little bit about analytics and AI in general. What a bunch of gobblygoop! I got done and thought, wtf did I just listen to.

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  • Rudolf Potucek
  • 12-07-20

if you've NEVER heard the term machine learning

This book might have been useful in 1970, when nobody had heard about machine learning or data driven business and when tit was inconceivable that the gut feeling of an entitled executive wasn't the be all end all of business decisions. in 2019, if this book is useful to you, it's probably worth considering swift and quiet retirement with whatever golden parachute you can still snatch before your company too enters the 20th century.

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  • Dorothy H. Tang
  • 12-04-20

Highly recommend!

This book was completely stunning; I acquired the Kindle form and had the option to hear it out ordinarily during my work drive. I particularly adored how the book addresses explicit regions to help create discipline and after every section, the writer surveys the primary take-sways. Generally speaking, HIGHLY suggested if you have issues with self-restraint.

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  • Janet A. Norris
  • 12-04-20

Found very useful

A splendid work, enormously useful for beginners to ML and all the way to pretty advanced readers; doesn't cover the most advanced concepts, but clearly explains where its coverage stops and offers very useful pointers to works in the vast ML literature. Thoroughly covers both the theory underlying various approaches (with as little advanced math as possible!) and many practical aspects of applying ML in real life, with good example data-sets and Python code.

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    5 out of 5 stars
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  • Emily S. Darley
  • 12-04-20

Guides very well

I liked this book and I am glad to add it to my library. I would recommend this guide for those who need such type of information. It is worth.