Try an audiobook on us

Machine Learning

An Essential Guide to Machine Learning for Beginners Who Want to Understand Applications, Artificial Intelligence, Data Mining, Big Data and More
Narrated by: Timothy Burke
Length: 2 hrs and 4 mins
4.5 out of 5 stars (10 ratings)
Regular price: £6.39
£7.99/month after 30 days. Cancel anytime

Summary

If you're at the beginner's stage and are looking to gain new knowledge about machine learning, then keep reading....

Do not listen to this audiobook if you're looking for a boring textbook containing a lot of dry math and programming lingo.

Every day, someone is giving up on learning about machine learning. Many people miss out on furthering their career, and perhaps even the progress of our species without even realizing

You see, most beginners make the same mistakes when first delving into the topic of machine learning. They start off with a resource containing too many unrelatable facts, math, and programming lingo that will put them to sleep rather than ignite their passion.

But that is all about to change.

This new book on machine learning will explain the concepts, methods, and history behind machine learning, including how our computers became vastly more powerful but infinitely less intelligent than ever before and why every tech company and their grandmother want to keep track of us 24/7, siphoning data points from our electronic devices to be crunched by their programs that then try to become virtual crystal balls, predicting our thoughts before we even have them. 

Most of the book seems like science-fiction because, in a sense, it is, far beyond what an average person would be willing to believe is happening. 

Here are some of the topics that are discussed in this book:

  • What machine learning is
  • What the point of machine learning is
  • 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
  • And much more!

Listen now to learn more!

©2018 Herbert Jones (P)2018 Herbert Jones

What members say

Average customer ratings

Overall

  • 4.5 out of 5 stars
  • 5 Stars
    6
  • 4 Stars
    3
  • 3 Stars
    1
  • 2 Stars
    0
  • 1 Stars
    0

Performance

  • 4.5 out of 5 stars
  • 5 Stars
    6
  • 4 Stars
    1
  • 3 Stars
    1
  • 2 Stars
    0
  • 1 Stars
    0

Story

  • 4.5 out of 5 stars
  • 5 Stars
    6
  • 4 Stars
    1
  • 3 Stars
    1
  • 2 Stars
    0
  • 1 Stars
    0
Sort by:
  • Overall
    5 out of 5 stars
  • Performance
    5 out of 5 stars
  • Story
    5 out of 5 stars

Highly recommended for everyone.

This book was so imperative and cooperative who love and want to learning with python. This book give you so many new and easy information about hands on machine. So generally, this book was so essential, and I suggest this book who love to read that type of book.

  • Overall
    5 out of 5 stars
  • Performance
    5 out of 5 stars
  • Story
    5 out of 5 stars

A helpful for Machine Learner lovers.

Indeed, even without coding knowledge can comprehend this since it is composed for that sort of fledgling's level. The book gives top to bottom information to information analysis. So by and large this book was so basic, and I propose this book who love to peruse that sort of book

  • Overall
    5 out of 5 stars
  • Performance
    5 out of 5 stars
  • Story
    5 out of 5 stars

This is an excellent guide to machine learning

The book makes available in-depth knowledge to data analysis and learning algorithms which is the core of machine learning. I hope others find this guide helpful as it did for me.

  • Overall
    5 out of 5 stars
  • Performance
    5 out of 5 stars
  • Story
    5 out of 5 stars

Helpful introduction to machine learning.

This is an excellent guide to machine learning, it’s really helpful in exploring the concept as a beginner. Even without coding experience can understand this since it is written for that kind of beginner’s level.

  • Overall
    5 out of 5 stars
  • Performance
    5 out of 5 stars
  • Story
    5 out of 5 stars

I am really happy buy this book..

Great read about machine learning in action. I give five star because all the topic explained very nice and perfectly. Thanks to author for this excellent book.

  • Overall
    5 out of 5 stars
  • Performance
    5 out of 5 stars
  • Story
    5 out of 5 stars

Great intro for non-programmers.


If you're liking for a baseline on the Machine Learning subject, Theobald delivers several examples without the overwhelming math. If you’re in the AI field, this is common ground.

Sort by:
  • Overall
    5 out of 5 stars
  • Performance
    5 out of 5 stars
  • Story
    5 out of 5 stars
  • Hanna Macleod
  • 08-09-18

A best and easy way to learn.

I was in search for a good and easy book and one of the my friend told me about this one and he also send me a promo for this book as well. I got it very nice and easy book. There is much information about learning the Machine Learning.

  • Overall
    3 out of 5 stars
  • Performance
    3 out of 5 stars
  • Story
    3 out of 5 stars
  • Marcos Lacerda
  • 31-08-18

Nothing new, no insights

No insights if you follow the news about the subject. A bit more superficial than what I was expecting.

  • Overall
    5 out of 5 stars
  • Performance
    5 out of 5 stars
  • Story
    5 out of 5 stars
  • Linda Cherylh
  • 28-08-18

A great experienced author about ML.

Generally, I am very satisfied with this book. Beforehand I have been speechless with the math and this helped draw me back out a few steps to better understand the concepts.

  • Overall
    5 out of 5 stars
  • Performance
    5 out of 5 stars
  • Story
    5 out of 5 stars
  • Bradley Kimbrell
  • 28-08-18

Excellent getting started book.

I enjoyed the listen-ability of this book. The emphasis is on how to use and understand Machine Learning rather than the math behind the algorithms. Was an enjoyable read.

  • Overall
    5 out of 5 stars
  • Performance
    5 out of 5 stars
  • Story
    5 out of 5 stars
  • Razan Diraf
  • 28-08-18

its a decent ML boook.

The author seems a senior developer who has good information about Machine Learning concepts in the past despite a strong math background as well. I was optimistic that a book for total laities would help, but as someone who learns mainly by doing, the tips are easy to follow.

  • Overall
    5 out of 5 stars
  • Performance
    5 out of 5 stars
  • Story
    5 out of 5 stars
  • Shirley Perine
  • 28-08-18

Its good book, good informative stuff.

I found it just wasn't hands-on enough. The information was good, but the lack of worked examples or exercises left me feeling like I hadn't learned all that much. I'd say if you're someone who can read information and absorb it, this could be a great introduction to the subject. But if you're like me and need a sandbox, you might want to keep looking.

  • Overall
    5 out of 5 stars
  • Performance
    5 out of 5 stars
  • Story
    5 out of 5 stars
  • Jason T. Chen
  • 28-08-18

The perfect intro to learn ML.

This is a great intro to the topic with hands on application and proposals for additional learning. Thank you for writing this book, the author has the command.

  • Overall
    5 out of 5 stars
  • Performance
    5 out of 5 stars
  • Story
    5 out of 5 stars
  • John M. Depasquale
  • 28-08-18

The book is also quite practical.

This book is ideal for people first coming into Machine Learning 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 data-sets.

  • Overall
    5 out of 5 stars
  • Performance
    5 out of 5 stars
  • Story
    5 out of 5 stars
  • Michael C. Walker
  • 26-08-18

A Good Introduction for Beginners.

This book is perfect for people first coming into Machine Learning 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.

  • Overall
    5 out of 5 stars
  • Performance
    5 out of 5 stars
  • Story
    5 out of 5 stars
  • Mattie S. Bates
  • 26-08-18

Its very easy to understand the ML.

This book answered all of the questions I had when speculating about Machine Learning. Its as it says an intro to Machine Learning.