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
Narrated by: Jeffrey Michael Bella
Length: 3 hrs and 8 mins
Categories: Business, Marketing
5 out of 5 stars (133 ratings)

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Publisher's 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 members say

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    4 out of 5 stars
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    3 out of 5 stars

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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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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Misleading title: not about ML

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

3 people found this helpful

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Very helpful learning

The book was considered extremely helpful for learning Advanced data mining and python. Gives a perfect introduction to discovering and learning more when instigating your curio. Will the author suggest to write a sequel.

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Amazing!

I selected this Amazon guide, and recommended it to everyone. AI is growing rapidly and it is having an important job in the coordinating field of both the enterprise and the PC. In this way, disregarding it is never conceivable again and it is the perfect opportunity for you to plumb and grasp its useful consequences and possibilities.

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Wonderful audible

I'd like to tell everyone, these two books are particularly perfect for those who really want to venture into the world of machine learning. Lots of real world scenario, prefect example is one of these books 'best features. I really enjoy and learn lots of simple stuff to start my Machine Learning career.

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Worth the listen

The book itself is a relatively easy listen and if it holds your attention, it can be tackled in an afternoon. Additional services are abundant. It doesn't waste time learning basic mathematics and then leverages the use of Python libraries that are freely accessible. Machine Learning math can be overwhelming quickly, so I applaud the writers to shy away from it.

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Perfect guidance

It's a nice overview guide, but it would be perfect if you can explain difficult topics without using domain specific words, which implies you already have ML expertise. If the words are used, then they should be described in advance. If specific methods are listed, a comparison and description of those would be helpful.

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Learned a lot!

The knowledge was fine, but the lack of worked examples or activities made me feel as if I hadn't learned too much. If you're someone who can listen to and absorb details, I'd say that could be a great introduction to the subject.

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Very practical

The book is perfect for people coming into ML for the first time looking for a simple introduction to the high stage. That said, the book is also very practical, and I had fun going through the example exercises to build regression lines and scrub data sets.

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  • J Westwood
  • 07-16-19

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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  • Edward Turner
  • 04-24-19

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.

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  • Robert Lane
  • 04-24-19

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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  • Charlotte Booth
  • 04-24-19

Very well structured though and excellent

Very well structured though and excellent and this book will teach you CRISP-DM workflow and how to think about analytics in a professional manner in addition to the core ML algorithms and the authors cover crucial practical information and work habits every data scientist should know and i do not know of any way to get this information other than making a lot of mistakes in the field. Well done!

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  • Tom Hooper
  • 04-24-19

The core ideas and functions well explained

The core ideas and functions well explained and a book to read first and then digging into specialization and helps to grasp the essentials and to have a base for the next level and supervised machine learning only and basically a bunch of applications for an undergrad CS class and light on theory

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  • Kieran Shepherd
  • 04-24-19

Found this book to be a fascinating listen

Found this book to be a fascinating listen. I love the idea of machine learning and how neural networks and algorithms work. Well worth checking out. Highly recommend it. Tons of great information throughout!

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  • John Wilkins
  • 04-22-19

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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  • Amber Potter
  • 04-22-19

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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  • Sean Little
  • 04-22-19

Learned the real deal on machines

Learned the real deal on machines and how they really operate. It has been mind-blowing and I'm looking forward for more. Hoping part two will be as good as this

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  • Toby Kay
  • 04-22-19

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.