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Machine Learning for Business
- A Simple Guide to Data Driven Technologies Using Machine Learning and Deep Learning
- Narrated by: Lukas Arnold
- Length: 1 hr and 3 mins
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Publisher's summary
Are you excited by the possibilities of machine learning? Do you want to optimize your business using machine learning? Then read below.
If you are an active user of statistics to examine trends in your business, then using machine learning is your next best step. It uses advanced predictive algorithms of different aspects of your business - and also of different trends in your industry - to help you make the best possible decision.
If you are new to business or thinking about starting a new business, this will also help you lay the groundwork and get ahead of others who are at your same level. It is a fascinating listen recommended for everyone, as it also looks at how machine learning and AI can impact society as a whole.
Here's what's included:
- What are machine learning and artificial intelligence?
- What is a predictive model?
- Using a predictive model to make decisions
- What are decision trees?
- How to use decision trees
- How to use neural networks
- How to use big data for business
- New technologies in machine learning
- Ethical use of machine learning for business
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Story
Look around you. Artificial intelligence is no longer just a futuristic notion. It's here right now - in software that senses what we need, supply chains that "think" in real time, and robots that respond to changes in their environment. Twenty-first-century pioneer companies are already using AI to innovate and grow fast. The bottom line is this: Businesses that understand how to harness AI can surge ahead. Those that neglect it will fall behind. Which side are you on?
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A golf course book
- By C. Surdak on 07-30-18
By: Paul R. Daugherty, and others
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Breakpoint
- Why the Web Will Implode, Search Will Be Obsolete, and Everything Else You Need to Know About Technology Is in Your Brain
- By: Jeff Stibel
- Narrated by: Robert David Grant
- Length: 7 hrs and 37 mins
- Unabridged
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We are living in a world in which cows send texts to farmers when they're in heat, where the most valuable real estate in New York City houses computers, not people, and some of humanity's greatest works are created by crowds, not individuals. We are in the midst of a networking revolution - set to transform the way we access the world's information and the way we connect with one another. Studying biological systems is perhaps the best way to understand such networks, and nature has a lesson for us if we care to listen: Bigger is rarely better in the long run.
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Meh
- By Customer on 12-07-14
By: Jeff Stibel
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What to Do When Machines Do Everything
- How to Get Ahead in a World of AI, Algorithms, Bots, and Big Data
- By: Malcolm Frank, Paul Roehrig, Ben Pring
- Narrated by: Eric Jason Martin
- Length: 7 hrs and 28 mins
- Unabridged
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What to Do When Machines Do Everything is a guidebook to succeeding in the next generation of the digital economy. When systems running on artificial intelligence can drive our cars, diagnose medical patients, and manage our finances more effectively than humans, it raises profound questions on the future of work and how companies compete.
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Assumes that machine learning will grow very slow
- By Nathan Burnham on 05-06-17
By: Malcolm Frank, and others
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The Filter Bubble
- What the Internet Is Hiding from You
- By: Eli Pariser
- Narrated by: Kirby Heyborne
- Length: 7 hrs and 32 mins
- Unabridged
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In December 2009, Google began customizing its search results for each user. Instead of giving you the most broadly popular result, Google now tries to predict what you are most likely to click on. According to MoveOn.org board president Eli Pariser, Google's change in policy is symptomatic of the most significant shift to take place on the Web in recent years: the rise of personalization.
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Now in the top 3 best books I've ever read
- By Brian Esserlieu on 05-26-11
By: Eli Pariser
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Too Big To Know
- Rethinking Knowledge Now That the Facts Aren't the Facts, Experts Are Everywhere, and the Smartest Person in the Room Is the Room
- By: David Weinberger
- Narrated by: Peter Johnson
- Length: 8 hrs and 2 mins
- Unabridged
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We used to know how to know. We got our answers from books or experts. We'd nail down the facts and move on. But in the Internet age, knowledge has moved onto networks. There's more knowledge than ever, of course, but it's different. Topics have no boundaries, and nobody agrees on anything.Yet this is the greatest time in history to be a knowledge seeker - if you know how.
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Good to know ...
- By John B. Fisher on 01-24-12
By: David Weinberger
What listeners say about Machine Learning for Business
Average customer ratingsReviews - Please select the tabs below to change the source of reviews.
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- Brian & Carolyn Cobb
- 08-04-18
Good start but a little confusing
I was looking forward to more of a beginners guide to Machine Learning. I have been on Technology for 30 years, and while I found a lot of good information here, there were a lot of abbreviation used with no explanation. Revering to a picture in the book without any description was confusing for me a listener.
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- June
- 08-15-18
An advanced book for an advanced concept
Don't be fooled. This is a very complicated subject matter and this audiobook is just able to explain the basics and touch the surface. It's a great introduction to the subject of machine learning.
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- Whitney
- 07-26-18
I found myself lost in information
I consider myself to be a pretty smart and tech-savvy individual however after trying to listen to this book I was very lost. This book has a lot of great information. However, this book was just not for me.
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