Your audiobook is waiting…

Artificial Intelligence and Machine Learning for Business

Approach for Beginners to AI and Machine Learning and Their Revolution of Modern Life, Health Care, Business and Marketing
Narrated by: Russell Archey
Length: 3 hrs and 27 mins
Categories: Business, Career Skills
5 out of 5 stars (62 ratings)

$14.95/month after 30 days. Cancel anytime.

OR
In Cart

Publisher's Summary

Do you want to learn about artificial intelligence and machine learning and how they are revolutionizing life, health care, business and marketing? Do you want apply them to your business?

Artificial intelligence technology has become so common that many people do not realize that AI is already a part of their lives. Businesses use AI in many realms, including predictive analytics, product pricing, and marketing. In healthcare, artificial intelligence can be used in medical image analysis, language processing in dictation, and automated healthcare services. Because of machine learning capabilities in AI, any data that artificial intelligence is provided with can be used to learn and to make new, unexpected predictions, and recommendations. In this audiobook, the listener will understand not only how AI works, but will also learn how machine learning is revolutionizing the industry.

Although artificial intelligence can be complex, AI technology does not have to be a daunting subject. Understanding artificial intelligence requires a basic understanding of how machines can be programmed to think like humans.

It is no surprise that AI is revolutionizing most areas of industry. Big tech companies have been on the forefront of AI because of their large amounts of data and their brain power in the form of machine learning teams, but anyone can learn how to use artificial intelligence to accomplish a basic business goal.

You will learn:

  • How machine learning works
  • AI models and networks
  • AI applied to complicated tasks
  • How apply AI to your marketing
  • How AI is changing business
  • The secret of big tech companies

Even if you don't know anything about artificial intelligence and machine learning you can learn how they can improve your business.

©2019 John Medicine (P)2019 John Medicine

What members say

Average Customer Ratings

Overall

  • 5 out of 5 stars
  • 5 Stars
    55
  • 4 Stars
    1
  • 3 Stars
    5
  • 2 Stars
    0
  • 1 Stars
    1

Performance

  • 4.5 out of 5 stars
  • 5 Stars
    52
  • 4 Stars
    3
  • 3 Stars
    3
  • 2 Stars
    1
  • 1 Stars
    1

Story

  • 4.5 out of 5 stars
  • 5 Stars
    53
  • 4 Stars
    1
  • 3 Stars
    2
  • 2 Stars
    3
  • 1 Stars
    1

Reviews - Please select the tabs below to change the source of reviews.

Sort by:
Filter by:
  • Overall
    5 out of 5 stars
  • Performance
    5 out of 5 stars
  • Story
    5 out of 5 stars

Good information for business

the book explain all the concepts of IA with a good examples. A very good introduction to machine learning

1 person found this helpful

  • Overall
    5 out of 5 stars

Excellent!

Excellent book, very well read, and very comprehensive. I'll be reading his follow-on book next.

1 person found this helpful

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

Increasingly true models.

A decent book to begin on general AI and TensorFlow, anyway TensorFlow APIs is exhausting and having a short form of code utilizing Keras would have been wonderful. Could have secured all the more new ideas like GAN and so forth .. what's more, increasingly true models

1 person found this helpful

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

Great book, with phenomenal models.

Great book, with phenomenal models. The writer realizes what he is discussing and seems to have invested a great deal of energy into the book.

1 person found this helpful

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

Great for non tech savvy Sr. MGMT

Writer: Seems like a template for adoption of any technology, nothing special. Upside, it provided good examples of the applications of AI.

Narrator: Mispronunciation of some key names and AI terms. On the upside he has a great voice and great anunciation!

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

Help to build.

I observe this book to be the ideal harmony between clarifying the ideas in a straightforward manner while going into adequate profundity on the hypothesis behind AI and profound learning. I went into this book knowing a portion of the essential instinct, yet this book has helped me to respond to the inquiries of why certain methods fill in as they do. The activities and models are additionally genuinely pointed by point and help to build up a superior feeling of how things are connected in reality.

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

I would propose the book.

An extraordinary book for amateurs. Albeit highly contrasting charts inside the book are to some degree hard to get it. Would propose the creator to consider shading diagrams for the following release.

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

The more you benefit from it.

Extraordinary Book, very much clarified a ton of genuine models, one of those books that the more occasions you listen to it, the more you benefit from it.

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

This is really a generally excellent book.

This is really a generally excellent book, it demonstrates that the writer knows the material profoundly and clarifies the materials in extremely itemized and from multiple points of view oversimplified way and makes things obvious and there is an extension to the following themes so you never feel lost on any subjects. This is an extraordinary book and profoundly suggested.

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

Highly recommended

Works admirably of giving precisely what it decides to do: give well-ordered clarifications of the fundamental calculations and standards of AI, actualized in Python utilizing NumPy, Scikit-Learn, and TensorFlow. Light on hypothetical subtleties yet incorporates enough numerical piece for in any event an abnormal state comprehension of why, how, and when the calculations work.

Sort by:
Filter by:
  • Overall
    5 out of 5 stars
  • Performance
    5 out of 5 stars
  • Story
    5 out of 5 stars
Profile Image for Patrick Sanderson
  • Patrick Sanderson
  • 08-09-19

This is a stunning book.

This is a stunning book for considering AI. It is down to earth, with genuine and broad code models, and simultaneously the book does not forfeit scientific and fundamental subtleties of the working standards. There is a Github repo with Jupyter note pads that incorporates every one of the codes and plots utilized in the book, and the writer always improves and refreshes it. I can unequivocally suggest this book for individuals who are attempting to gain proficiency with these things.

  • Overall
    5 out of 5 stars
  • Performance
    5 out of 5 stars
  • Story
    5 out of 5 stars
Profile Image for Evan Stephens
  • Evan Stephens
  • 08-09-19

I exceptionally prescribe this book.

Out of the dozen or so books on AI and profound learning I've worked through over the previous year this has been the best by a long shot. The composition style is brief while still useful; it gives an incredible beginning stage for anybody inspired by AI/profound learning without getting also hindered with a hypothesis, however, it gives only enough to comprehend what's happening. This book left me needing more and gave numerous extraordinary leads on where to discover data to encourage my examinations. It revitalized my craving to work (and play) with AI methods, which was genuinely necessary for the wake of being let somewhere near such a significant number of different books. I exceptionally prescribe this book to anybody keen on finding out about AI and TensorFlow.

  • Overall
    5 out of 5 stars
  • Performance
    5 out of 5 stars
  • Story
    5 out of 5 stars
Profile Image for Katie Lee
  • Katie Lee
  • 08-09-19

This book gives that establishment.

Great book. The data gave is a fabulous prologue to AI and profound learning with Tensorflow. I got into the AI world by means of Andrew Ng's Coursera course just as fast.ai seminars on profound learning. I felt like there was in every case some information accepted about customary AI that I was deficient. E.g., what's a suitable cost work? what's the genuine distinction among characterization and relapse? This book gives that establishment. I at last feel like I have a firm handle of AI.

  • Overall
    5 out of 5 stars
  • Performance
    5 out of 5 stars
  • Story
    5 out of 5 stars
Profile Image for Katie Lee
  • Katie Lee
  • 08-09-19

This book is vastly improved.

This book is vastly improved to gain from than the dry course reading utilized in my ML class. It has magnificent practice issues and trains all the real devices you need when utilizing ML nowadays. Exceptionally prescribed.

  • Overall
    5 out of 5 stars
  • Performance
    5 out of 5 stars
  • Story
    5 out of 5 stars
Profile Image for Shannon Patterson
  • Shannon Patterson
  • 08-09-19

Easy to pursue the models.

Try not to need to realize much before listening to this book and doesn't get stalled with the math. Easy to pursue the models.

  • Overall
    5 out of 5 stars
  • Performance
    5 out of 5 stars
  • Story
    5 out of 5 stars
Profile Image for Riley Watkins
  • Riley Watkins
  • 08-08-19

This book is ideal for the scientist.

This book is ideal for the scientist that have some information on the part of AI and PC vision And like to see down to earth utilization of TensorFlow.

  • Overall
    5 out of 5 stars
  • Performance
    5 out of 5 stars
  • Story
    5 out of 5 stars
Profile Image for Keira Curtis
  • Keira Curtis
  • 08-08-19

I would rank this one in the top.

There are a lot of other exciting audits here, however, I all things considered felt constrained to include another. I have purchased many specialized PC/programming books in the course of recent decades and I would rank this one in the top 1%. As others have stated, the broadness of inclusion and lucidity of clarification are exceptional.

  • Overall
    5 out of 5 stars
  • Performance
    5 out of 5 stars
  • Story
    5 out of 5 stars
Profile Image for Grace Collier
  • Grace Collier
  • 08-08-19

Recommended.

My solitary problem is that the book could go into much more insight concerning how certain models work and why certain things work the manner in which they do. It could likewise talk increasingly about the internals of the apparatuses, as Scikit-Learn, and the engineering and capacity of the code behind the capacities.

  • Overall
    5 out of 5 stars
  • Performance
    5 out of 5 stars
  • Story
    5 out of 5 stars
Profile Image for Phoebe Warren
  • Phoebe Warren
  • 08-08-19

I cherished.

While I know about ML hypothesis, I was keen on finding out about the current practice, and this book was amazingly useful in such manner. I cherished the writer's cautious composition, clearly, he pampered this book with affection and consideration, and it appears.

  • Overall
    5 out of 5 stars
  • Performance
    5 out of 5 stars
  • Story
    5 out of 5 stars
Profile Image for James Rice
  • James Rice
  • 08-08-19

A stunning book.

A stunning book, in all respects, obviously clarifies. It has all the fundamental data to clarify different ML ideas just as how to execute them. In case you're searching for a book to clarify various ideas, this is it. Full stop.