-
Data Science 2020
- Learn How to Optimize Your Business Using Data Analytics and Machine Learning.
- Narrado por: Michael Reece
- Duración: 6 h y 22 m
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Data Science 2020
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Resumen del Editor
Mastering data science doesn’t have to be complicated.
Data Science 2020 can help you go from novice to expert in no time at all. To keep up with this growing industry, one has to know all the ins and outs, be able to keep up with the fast-moving innovations, and really understand all the nuances of this field.
In this audiobook, you will not only learn what data science is, but also all the variables included with it. You will discover:
- How you can use that information to analyze data analytics for companies big and small
- How to strengthen your business marketing for maximum results
- Why Python is a crucial element to master
- How to shore up data security
- And so much more!
If you’ve ever wanted to get a leg up in this competitive field, make yourself more marketable or vital to businesses, or have a vested interest in learning all there is to know about data science, this comprehensive guide will walk you through the process from beginning to end. It will provide all the guidance you need to jump into this industry, hone your existing skills, or fill any gaps in your current knowledge.
To get started, buy the audiobook today.
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Historia4 out of 5 stars 55
The best-selling author of Big Data is back, this time with a unique and in-depth insight into how specific companies use big data. Big data is on the tip of everyone's tongue. Everyone understands its power and importance, but many fail to grasp the actionable steps and resources required to utilise it effectively. This book fills the knowledge gap by showing how major companies are using big data every day, from an up-close, on-the-ground perspective.
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2 out of 5 stars
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Good book for managers
- De Capnbody en 01-08-18
De: Bernard Marr
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Power and Prediction
- The Disruptive Economics of Artificial Intelligence
- De: Ajay Agrawal, Joshua Gans, Avi Goldfarb
- Narrado por: Tom Beyer
- Duración: 10 h y 7 m
- Versión completa
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General4.5 out of 5 stars 78
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Narración:4.5 out of 5 stars 69
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Historia4.5 out of 5 stars 69
In their bestselling first book, Prediction Machines, eminent economists Ajay Agrawal, Joshua Gans, and Avi Goldfarb explained the simple yet game-changing economics of AI. Now, in Power and Prediction, they go deeper, examining the most basic unit of analysis: the decision. The authors explain that the two key decision-making ingredients are prediction and judgment, and we perform both together in our minds, often without realizing it.
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5 out of 5 stars
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Inspire system thinking with informative examples
- De Lucy A. Pithecus en 11-16-22
De: Ajay Agrawal, y otros
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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 1,195
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Narración:4.5 out of 5 stars 1,002
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Historia4.5 out of 5 stars 997
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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Superminds
- The Surprising Power of People and Computers Thinking Together
- De: Thomas W. Malone
- Narrado por: Mel Foster
- Duración: 11 h y 11 m
- Versión completa
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General4 out of 5 stars 98
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Narración:4.5 out of 5 stars 89
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Historia4 out of 5 stars 89
Many people today are so dazzled by the long-term potential for artificial intelligence that they overlook the much clearer and more immediate potential for a new form of "collective intelligence": the intelligence of groups of people and computers working together. In Superminds, Thomas Malone explains what we need to do to take advantage of this potential. Groundbreaking and utterly fascinating, Superminds will change the way you work - both with others and with computers - for the better.
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2 out of 5 stars
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"Why did a Kenyan immigrant win the 2008 election"
- De RealTruth en 07-11-18
De: Thomas W. Malone
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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 Future of the Professions
- How Technology Will Transform the Work of Human Experts
- De: Richard Susskind, Daniel Susskind
- Narrado por: John Lee
- Duración: 12 h y 39 m
- Versión completa
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General4 out of 5 stars 272
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Narración:4 out of 5 stars 225
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Historia4 out of 5 stars 224
This book predicts the decline of today's professions and describes the people and systems that will replace them. In an Internet society, according to Richard Susskind and Daniel Susskind, we will neither need nor want doctors, teachers, accountants, architects, the clergy, consultants, lawyers, and many others to work as they did in the 20th century.
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3 out of 5 stars
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I Hope It's Not All True
- De John en 05-01-16
De: Richard Susskind, y otros
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The Amazon Way on IoT
- 10 Principles for Every Leader from the World's Leading Internet of Things Strategies
- De: John Rossman
- Narrado por: Christopher Lane
- Duración: 5 h y 13 m
- Versión completa
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General4 out of 5 stars 192
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Narración:4.5 out of 5 stars 166
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Historia4 out of 5 stars 161
The Amazon Way on IoT is for the leader who wants to understand how the Internet of things is transforming business and society. Listeners will discover business cases, key concepts, technologies and tools to help develop, explain and execute their own IoT approach through understanding Amazon's and other leading companies sophisticated IoT technologies and strategies.
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3 out of 5 stars
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Very insightful, but quite boring
- De Riaan en 02-21-17
De: John Rossman
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Digital Transformation
- Survive and Thrive in an Era of Mass Extinction
- De: Thomas M. Siebel
- Narrado por: Thomas M. Siebel
- Duración: 9 h y 8 m
- Versión completa
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General4.5 out of 5 stars 421
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Narración:4 out of 5 stars 344
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Historia4.5 out of 5 stars 344
The confluence of four technologies - elastic cloud computing, big data, artificial intelligence, and the internet of things - writes Siebel, is fundamentally changing how business and government will operate in the 21st century. Siebel masterfully guides listeners through a fascinating discussion of the game-changing technologies driving digital transformation and provides a roadmap to seize them as a strategic opportunity.
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5 out of 5 stars
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The bible for your Digital Transformation projects
- De GR7381 en 07-19-19
De: Thomas M. Siebel
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Designing for Growth
- A Design Thinking Tool Kit for Managers
- De: Jeanne Liedtka, Tim Ogilvie
- Narrado por: Nicol Zanzarella
- Duración: 6 h y 35 m
- Versión completa
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General4 out of 5 stars 102
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Narración:4 out of 5 stars 86
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Historia4 out of 5 stars 85
Jeanne Liedtka and Tim Ogilvie educate listeners on one of the hottest trends in business development: "design thinking", or the ability to turn abstract ideas into practical applications for maximal business growth. Jeanne Liedtka's recent book, The Catalyst: How YOU Can Lead Extraordinary Growth, was named a Top Innovation and Design Thinking Book by Business Week. Tim Ogilvie has been hailed as a visionary for his pioneering contributions to service innovation, business model innovation, and customer experience design.
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4 out of 5 stars
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Audiobook requires regular book
- De GoingGoingGone... en 07-01-18
De: Jeanne Liedtka, y otros
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Winning with Data
- Transform Your Culture, Empower Your People, and Shape the Future
- De: Tomasz Tunguz, Frank Bien
- Narrado por: James Patrick Cronin
- Duración: 5 h y 37 m
- Versión completa
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General4 out of 5 stars 90
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Narración:4.5 out of 5 stars 74
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Historia4 out of 5 stars 73
Winning with Data explores the cultural changes big data brings to business, and shows you how to adapt your organization to leverage data to maximum effect. Authors Tomasz Tunguz and Frank Bien draw on extensive background in big data, business intelligence, and business strategy to provide a blueprint for companies looking to move head-on into the data wave. Instrumentation is discussed in detail, but the core of the change is in the culture.
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1 out of 5 stars
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Content marketing
- De Adam Winn en 12-22-16
De: Tomasz Tunguz, y otros
Lo que los oyentes dicen sobre Data Science 2020
Calificaciones medias de los clientesReseñas - Selecciona las pestañas a continuación para cambiar el origen de las reseñas.
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Total5 out of 5 stars
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Ejecución5 out of 5 stars
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Historia5 out of 5 stars
- Charles Nichols
- 04-15-20
Informative and precise
This book is resourceful to learn the most recent Data Analytics and Data Science techniques. It has a lot of examples and stories. It is very simple, clear and easy to understand.
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Total5 out of 5 stars
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Ejecución5 out of 5 stars
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Historia5 out of 5 stars
- Magda Smith
- 04-16-20
Good audio book
As a developing science, this audio book provides an essential introduction to Data Science, in very simple way, not much of technical or theoretical, but scientifically precise, everyone has to listen it
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Total5 out of 5 stars
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Ejecución5 out of 5 stars
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Historia5 out of 5 stars
- George Campbell
- 04-16-20
Informative and precise
This book is resourceful to learn the most recent Data Analytics and Data Science techniques. It has a lot of examples and stories. It is very simple, clear and easy to understand.
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Total5 out of 5 stars
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Ejecución5 out of 5 stars
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Historia5 out of 5 stars
- Phyllis Dingess
- 04-15-20
Definitely one of the best buy for me.
Very essential Book for students who want to peruse their profession in the big data industry because it provides both the top theoretical and practical concepts using programming language.
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Total5 out of 5 stars
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Ejecución5 out of 5 stars
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Historia5 out of 5 stars
- Son Harper
- 04-15-20
This book covers the basics through
This book covers the basics through implementation of simple machine learning. It was entertaining and highly educational. I especially appreciated the effort made by the author to walk a newbie through installation of a new programming environment and then using it to produce something useful
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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
- Janice Mignone
- 04-16-20
Best Data Visualization Audible book
Great concept Audible guide for us. If you want to learn more Data Visualization so you can take and follow this book strategies. Overall best quality Audiobook.
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Total5 out of 5 stars
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Ejecución5 out of 5 stars
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Historia5 out of 5 stars
- Cindy Alamo
- 04-16-20
This book covers the basics through
This book covers the basics through implementation of simple machine learning. It was entertaining and highly educational. I especially appreciated the effort made by the author to walk a newbie through installation of a new programming environment and then using it to produce something useful
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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
- John Hyde
- 04-16-20
Very auxiliary book-must listen to get help!
This book helps us be better prepared for the inevitable. Working with codes and Web application development frameworks made me think about something different in the field of Data Engineering. Develop your own data analytics strategy and action plan.
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