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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
Narrated by: Jeffrey Michael Bella
Length: 3 hrs and 8 mins
Categories: Business, Marketing
5 out of 5 stars (23 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

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    3 out of 5 stars
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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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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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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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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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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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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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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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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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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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  • 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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  • Jesper Nordström
  • 12-09-19

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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  • Dorothy Johnson
  • 04-04-20

Well presented!

This book is ideal for people first coming into ML looking for a clear high-level introduction. Having said that, the book is also quite practical too, and I had good fun going through the example exercises to build regression lines and scrub datasets.

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  • William Frazier
  • 04-04-20

Advanced audible

Simple to understand and a great starting point for ML. I am now ready for much more advanced ML stuff.

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    5 out of 5 stars
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  • Tommy Brooks
  • 04-04-20

Full of knowledge

Great book for newbies to machine learning. You will get more from the book if you have a some knowledge of python.

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  • Clinton Wallace
  • 04-04-20

Highly recommend

Easy to understand for beginners or anyone at any level wants to refresh on ML. I would highly recommend for data analysts and aspiring data scientists.

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  • Terrell Patterson
  • 04-04-20

Fantastic audiobook

This book is fantastic ... very well explained data mining algorithm and application of those, but be careful it requires patience and good math background.

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  • Adam Hayes
  • 03-04-20

Pleased me

I'm very pleased with this book. I enjoy the little bits of humor here and there, and it does a great job not glossing over important details that might be a stumbling block for someone.

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  • April Carlisle
  • 03-04-20

Great listen

Bought this for a relative in my family who is getting started on Python. Although the book is a little pricey it is one of the top books for learning and understanding Python. The gift was much appreciated.