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Machine Learning for Business
- A Simple Guide to Data Driven Technologies Using Machine Learning and Deep Learning
- Narrado por: Lukas Arnold
- Duración: 1 h y 3 m
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De: Arthur Ike Smith
Resumen del Editor
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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- De: Luke Dormehl
- Narrado por: Gus Brown
- Duración: 8 h y 12 m
- Versión completa
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General4 out of 5 stars 60
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Narración:4.5 out of 5 stars 50
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Historia4 out of 5 stars 51
When most of us think about artificial intelligence, our minds go straight to cyborgs, robots, and sci-fi thrillers where machines take over the world. But the truth is that artificial intelligence is already among us. It exists in our smartphones, fitness trackers, and refrigerators that tell us when the milk will expire. In some ways the future people dreamed of at the World's Fair in the 1960s is already here. We're teaching our machines how to think like humans, and they're learning at an incredible rate.
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2 out of 5 stars
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Mostly platitudes with no depth
- De Gary en 03-24-17
De: Luke Dormehl
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Artificial Intelligence: 101 Things You Must Know Today About Our Future
- De: Lasse Rouhiainen
- Narrado por: Rodger Paxton
- Duración: 8 h y 17 m
- Versión completa
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General4.5 out of 5 stars 47
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Narración:4 out of 5 stars 41
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Historia4 out of 5 stars 42
Artificial intelligence is changing our world faster than we can imagine, and it will impact every area of our lives. And this is happening whether we like it or not. You might have heard that many jobs will be replaced by automation and robots, but did you also know that at the same time a huge number of new jobs will be created by AI? This book covers many fascinating and timely topics related to artificial intelligence, including: self-driving cars, robots, chatbots, and how AI will impact the job market, business processes, and entire industries, just to name a few.
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1 out of 5 stars
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Completely useless
- De Joe V en 03-29-19
De: Lasse Rouhiainen
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Machine, Platform, Crowd
- Harnessing Our Digital Future
- De: Erik Brynjolfsson, Andrew McAfee
- Narrado por: Jeff Cummings
- Duración: 10 h y 57 m
- Versión completa
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General4.5 out of 5 stars 1,197
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Narración:4.5 out of 5 stars 1,004
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Historia4.5 out of 5 stars 999
In The Second Machine Age, Andrew McAfee and Erik Brynjolfsson predicted some of the far-reaching effects of digital technologies on our lives and businesses. Now they’ve written a guide to help listeners make the most of our collective future. Machine | Platform | Crowd outlines the opportunities and challenges inherent in the science fiction technologies that have come to life in recent years, like self-driving cars and 3D printers, online platforms for renting outfits and scheduling workouts, or crowd-sourced medical research and financial instruments.
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5 out of 5 stars
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Both How AND Why for Techies
- De Dan Collins en 08-11-17
De: Erik Brynjolfsson, y otros
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The Master Algorithm
- How the Quest for the Ultimate Learning Machine Will Remake Our World
- De: Pedro Domingos
- Narrado por: Mel Foster
- Duración: 13 h y 3 m
- Versión completa
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General4.5 out of 5 stars 1,668
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Narración:4.5 out of 5 stars 1,426
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Historia4.5 out of 5 stars 1,420
Under the aegis of machine learning in our data-driven machine age, computers are programming themselves and learning about - and solving - an extraordinary range of problems, from the mundane to the most daunting. Today it is machine learning programs that enable Amazon and Netflix to predict what users will like, Apple to power Siri's ability to understand voices, and Google to pilot cars.
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4 out of 5 stars
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Great book, irritating narration
- De N. G. PEPIN en 09-24-15
De: Pedro Domingos
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The Formula
- How Algorithms Solve all our Problems…and Create More
- De: Luke Dormehl
- Narrado por: Daniel Weyman
- Duración: 7 h y 26 m
- Versión completa
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General4 out of 5 stars 446
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Narración:4 out of 5 stars 388
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Historia4 out of 5 stars 387
A fascinating guided tour of the complex, fast-moving, and influential world of algorithms - what they are, why they’re such powerful predictors of human behavior, and where they’re headed next. Algorithms exert an extraordinary level of influence on our everyday lives - from dating websites and financial trading floors, through to online retailing and internet searches - Google's search algorithm is now a more closely guarded commercial secret than the recipe for Coca-Cola.
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2 out of 5 stars
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Not about algorithms. Not an original book.
- De Landon Rordam en 12-02-14
De: Luke Dormehl
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Human + Machine
- Reimagining Work in the Age of AI
- De: Paul R. Daugherty, H. James Wilson
- Narrado por: Jamie Renell
- Duración: 5 h y 55 m
- Versión completa
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General4 out of 5 stars 332
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Narración:4.5 out of 5 stars 283
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Historia4 out of 5 stars 283
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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3 out of 5 stars
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A golf course book
- De C. Surdak en 07-30-18
De: Paul R. Daugherty, y otros
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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
- De: Jeff Stibel
- Narrado por: Robert David Grant
- Duración: 7 h y 37 m
- Versión completa
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General4.5 out of 5 stars 64
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Narración:4.5 out of 5 stars 59
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Historia4.5 out of 5 stars 57
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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1 out of 5 stars
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Meh
- De Customer en 12-07-14
De: 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
- De: Malcolm Frank, Paul Roehrig, Ben Pring
- Narrado por: Eric Jason Martin
- Duración: 7 h y 28 m
- Versión completa
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General4.5 out of 5 stars 267
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Narración:4.5 out of 5 stars 236
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Historia4.5 out of 5 stars 235
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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2 out of 5 stars
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Assumes that machine learning will grow very slow
- De Nathan Burnham en 05-06-17
De: Malcolm Frank, y otros
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The Filter Bubble
- What the Internet Is Hiding from You
- De: Eli Pariser
- Narrado por: Kirby Heyborne
- Duración: 7 h y 32 m
- Versión completa
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General4 out of 5 stars 308
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Narración:4 out of 5 stars 254
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Historia4 out of 5 stars 250
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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5 out of 5 stars
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Now in the top 3 best books I've ever read
- De Brian Esserlieu en 05-26-11
De: 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
- De: David Weinberger
- Narrado por: Peter Johnson
- Duración: 8 h y 2 m
- Versión completa
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General3.5 out of 5 stars 139
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Narración:4 out of 5 stars 110
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Historia4 out of 5 stars 109
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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4 out of 5 stars
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Good to know ...
- De John B. Fisher en 01-24-12
De: David Weinberger
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Lo que los oyentes dicen sobre Machine Learning for Business
Calificaciones medias de los clientesReseñas - Selecciona las pestañas a continuación para cambiar el origen de las reseñas.
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Total3 out of 5 stars
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Ejecución3 out of 5 stars
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Historia3 out of 5 stars
- 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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Total4 out of 5 stars
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Ejecución4 out of 5 stars
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Historia4 out of 5 stars
- 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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Total3 out of 5 stars
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Ejecución2 out of 5 stars
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Historia1 out of 5 stars
- 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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