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Publisher's Summary

Do you want to understand machine learning? How it works and how is correlated to artificial intelligence and deep learning? If yes, then keep reading....

Machine Learning is based on mathematics, specifically statistics. It is a probabilistic discipline that began in the 1950s. Despite initial enthusiasm, research and development in Machine Learning languished for over 30 years, suffering from twin ills of a lack of data to work with and computers that were too slow to effectively work with what data they had.

It is no accident Machine Learning is coming into its own over the last 10 years. Until we began creating and storing massive amounts of data about our world, Machine Learning was mostly an idea in the minds of statisticians. And until computers reached a level of speed and power where these massive data sets could be ingested in a reasonable amount of time, the revolution couldn’t happen.

Most machine learning technology is developed in such a way that it is excellent at performing one or, at most, two tasks. By focusing entire technology on one single task, they can ensure that it runs that task perfectly and that it does not get confused between the tasks that it is trying to accomplish.

It is likely that as we become more familiar with machine learning technology and more educated in the algorithms, we will start to see more and more machines completing multiple tasks, rather than just one.

This audiobook gives a comprehensive guide on the following:

  • What is machine learning?
  • Machine learning categories
  • Sectors and industries that use machine learning
  • Fundamental algorithms
  • Regression analysis
  • Benefits of machine learning
  • Deep learning
  • Deep neural network
  • Big data analytics
  • Big data analysis tools
  • How companies use big data
  • Data mining and applications
  • And more!

What are you waiting for? Listen now!

©2020 Chris Neil (P)2020 Chris Neil

What listeners say about Machine Learning for Beginners

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  • Marielle Söderström
  • 09-04-2020

About The Lesson - Just Simply WOW!

This book have everything simply are seeking out for on the off chance that you're looking to advance your understanding of the different subjects in machine learning. I accept this could be valuable for tenderfoot and master alike. On best of it, there are bounty of particular cases to draw from.

4 people found this helpful

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  • Beth Douglas
  • 09-04-2020

To know more machines completing tasks.

This book contains the data required for both fledglings and progressed audience members. Beginning with crucial concepts, such as information structure, examining procedure nuts and bolts, and machine learning calculations, this book too covers progressed points like support learning. I would like to suggest it to all you who's severely interested to plunge in ML.

3 people found this helpful

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  • Jesse Fleming
  • 09-04-2020

This guide provides facts that hard to find.

This book exceptionally extraordinary, within the wake of assessing this book I am so dumbfounded. By control of the creator and would support for this book to anyone. Much obliged to the author for giving us such an fabulous book. I learned distinctive ways to adjust my programming fashion to overcome a few issues.

2 people found this helpful

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  • Katie Simpson
  • 09-04-2020

For become more familiar with machine learning.

This direct gives data on diverse perspectives of the dialect and made a difference me learn more approximately diverse structures and capacities in Python. This book has strategies to make strides your life. The book really letting me know in a couple of locales. This includes a awesome bargain of great information. It's anything but troublesome to feel.

1 person found this helpful

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  • Mechanician
  • 28-06-2020

Platitudes, hype, and an obnoxious speaker

I just could not manage to listen to more than a few minutes. The actor is truly annoying. He annunciates as if speaking to a limited-brain-capacity listener. Ok, that is subjective. What I found hard to swallow in the content was the relentless drum of hype. Thank you, but no, thank you.

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  • Ben
  • 29-05-2020

A badly narrated sales brochure

Don't spend your money, credits, or time with this book. There are a ton of errors in the narration (what for example is a "plane crush", pretty sure you mean crash), the reader talks in an unbearably stilted way, and the information obtained through listening is "algorithms let computers correlate data and that's neat" spoken in as many ways as the author could hack together for a quick cash grab. Additionally, the actual writing itself is just bad and unengaaging.

If the author isn't native English speaker that's understandable, but get an editor.

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  • Jerrod Ruiz
  • 07-05-2020

Good introduction to machine learning

The latest being ai and machine learning. This book explained the basic concepts to me in a nice and compact way. The book helped me identify how different subjects & relate to others, not to mention a friendly intro into different techniques used in ML Highly recommended!



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  • Len Hicks
  • 07-05-2020

Highly recommended for people

Highly recommended for people who want a solid understanding of it. Moreover, the edition of the book is just amazing. That said, this book is by far the best, straight-to-the-point book on the subject that I have encountered.

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  • Rupert Olsen
  • 07-05-2020

Listening sentences simply

Data science is so Important for marketing and business. I liked the short and concise explanations. They were so concise I found my self-listening and listening sentences simply because there was so much information condensed into them.

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  • Lydia Davila
  • 07-05-2020

Outstanding good details!

Overall I feel that this is a good book listen to if you have already had a healthy introduction to machine learning from other sources.



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  • Paul Williams
  • 09-04-2020

ML Behind Story With Full Of Practical Examples.

Incredible book on instinct behind wide range of Machine Learning approaches, full of viable cases. In reality, it is the as it were book aside from the Components of Measurable Learning that I would prescribe (and possess). It is in strike differentiate to the plenty of ML books on the advertise that are either as well math overwhelming with small commonsense illustrations, or fair appear you how to apply python or R bundles.

4 people found this helpful

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  • Heather Ford
  • 09-04-2020

Book on intuition behind Machine Learning.

It’s like talking to somebody one who is fair giving you the basic straight reply to what’s going on. This book’s tone and profundity is between the buzz word loaded “intro to machine learning” books for commerce individuals and the “too much math for non majors” reading material that center a particular sort of machine learning. With that said I utilize it to pick up an instinct and the primary layers of scientific profundity to each ML calculation.

3 people found this helpful

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  • Brandon Thomas
  • 09-04-2020

To artificial intelligence and deep learning

When I begun out, I ran a few exchanging work areas on the budgetary prospects floors at the CME and CBOT. Principal and specialized examination were all that existed. I was stunned with how instinctive this content appears. Machine Learning is ordinarily planted as this inconceivably unique, hypothetical subject, but Chris makes it open to the layman. Within the coming insurgency with ML methods being standard within the industry, I profoundly suggest.

2 people found this helpful

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  • Jessica Parisi
  • 09-04-2020

Exists In My Recommendation!

Some time recently obtaining this book, I've investigated this author's to begin with book -- A few books examining this specific subject exist on the showcase. To guarantee the book covers the foremost pertinent data for a tenderfoot, a parcel of exertion was taken. Appreciate the lesson and the learning too. Much obliged for the creation of this amazing substance manual.

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  • Allison
  • 11-05-2020

Best ML audio book for beginners!!!

This is the best machine learning audio book I have ever listen!!! The author breaks things done into simple easy to understand components. I now have a better understanding of what the ML engineers are discussing.

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  • Mia
  • 11-05-2020

Just what I was looking for

The audio book is an introduction into machine learning techniques which covers many of the topics without going into many detailed explanations.

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  • Charlotte
  • 11-05-2020

Nice introduction to ML

The audio book it's a pretty good introduction to the machine learning field as the name suggests. It's enough to give you a quick grasp of some of the most used concepts in the ML/deep learning field. Nevertheless, the author also explains the pros and cons of both methodologies and when they are useful or a complete waste of time/money.

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  • Sophia
  • 11-05-2020

Recommended listening for newbies

Clear and concise introduction to ML. If you don’t have a background in data science, I wouldn’t let this stop you from picking up this audio book. My own expertise is in mobile web development, which is outside the scope of this audio book title, but I had no problems going through it.

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  • Celina
  • 11-05-2020

Great introduction

I will need a second pass on the audio book but I think it gave a great introduction to the world of machine learning. Not boring at all!

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  • Hannah Castaneda
  • 07-05-2020

This audiobook is very helpful for programmer.

This audiobook is very helpful for programmer. How to work by Python language you can learn from this audiobook. Beginners can take many things from this audiobook. You can listen this audiobook for your better knowing.

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