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Data Science
- What You Need to Know About Data Analytics, Data Mining, Regression Analysis, Artificial Intelligence, Big Data for Business, Data Visualization, Database Querying, and Machine Learning
- Narrado por: Sam Slydell
- Duración: 3 h y 3 m
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Resumen del Editor
If you want to learn about data science, then pay attention...
This audiobook will discuss everything that you need to know when it comes to working in the field of data science. This world has changed, and with the modern technology that we have, it is easier than ever for companies to amass a large amount of data on the industry, on their competition, on their products, and their customers. Gathering the data is the easy part, though. Being able to sort through this data and understand what it is saying is going to be a unique challenge all on its own. This is where the process and field of data science can come in.
There is so much that we can explore and learn about when it comes to the world of data science, and this ultimate guide is here to help you navigate through these specialties. You will see just how important the ideas of data mining, data analytics, and even artificial intelligence are to our world as a whole today.
This audiobook will discuss the following topics:
- What Is Data Science?
- What Exactly Does a Data Scientist Do?
- A Look at What Data Analytics Is All About
- What Is Data Mining and How Does It Fit in with Data Science?
- Regression Analysis
- Why Is Data Visualization so Important When It Comes to Understanding Your Data?
- How to work with Database Querying
- A Look at Artificial Intelligence
- What Is Machine Learning and How Is It Different from Artificial Intelligence?
- What Is the Future of Artificial Intelligence and Machine Learning?
- And much more!
So if you want to learn more about data science, get your audiobook now!
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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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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 1,195
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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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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 331
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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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Jobs to Be Done
- A Roadmap for Customer-Centered Innovation
- De: Stephen Wunker, David Farber, Jessica Wattman
- Narrado por: Tim Andres Pabon
- Duración: 4 h y 52 m
- Versión completa
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General4 out of 5 stars 111
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Narración:4 out of 5 stars 89
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Historia4 out of 5 stars 90
Jobs to Be Done gives you a clear-cut framework for thinking about your business, outlines a road map for discovering new markets, new products, and new services, and helps you generate creative opportunities to innovate your way to success.
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2 out of 5 stars
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YouTube talks are better.
- De BizTech Readings en 12-27-16
De: Stephen Wunker, y otros
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Design Thinking in Business and IT: Overview, Techniques and Example Workshop
- De: Florian Heuer
- Narrado por: Bryan Stout
- Duración: 1 h y 4 m
- Versión completa
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General4 out of 5 stars 88
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Narración:4 out of 5 stars 75
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Historia3.5 out of 5 stars 75
You might've talked about innovation with your IT department or software development agency lately and the words "design thinking" were surely mentioned. So what is it? Just another piece of business jargon to add to your arsenal or a useful tool? Or maybe even an overestimated hype? Nowadays every organization or business runs into a myriad of problems as business models become increasingly more complex. Globalization and advances in communication and technology, all add up to creating unique opportunities but also new challenges that are not easy to solve applying the old tested methods.
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4 out of 5 stars
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Basic design thinking lesson
- De Preston en 04-09-16
De: Florian Heuer
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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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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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The Science of Growth
- How Facebook Beat Friendster - and How Nine Other Startups Left the Rest in the Dust
- De: Sean Ammirati, Richard Florida - foreword
- Narrado por: Fajer Al-Kaisi
- Duración: 6 h y 57 m
- Versión completa
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General4 out of 5 stars 112
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Narración:4.5 out of 5 stars 95
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Historia4 out of 5 stars 95
The lean entrepreneurship movement has captivated Silicon Valley and entrepreneurs across the country. It provided an agile framework to develop the right product solution for a given target market and is now used by almost every fledgling company to do just that. The next challenge is growth - to achieve the financial returns and, more importantly, the impact they dreamed of when starting off on their adventure.
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5 out of 5 stars
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Awesome book
- De Josh en 04-29-16
De: Sean Ammirati, y otros
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Big Data in Practice
- How 45 Successful Companies Used Big Data Analytics to Deliver Extraordinary Results
- De: Bernard Marr
- Narrado por: Piers Hampton
- Duración: 7 h y 25 m
- Versión completa
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General4 out of 5 stars 68
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Narración:4 out of 5 stars 58
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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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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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Design a Better Business
- New Tools, Skills, and Mindset for Strategy and Innovation
- De: Patrick van der Pijl, Lisa Kay Solomon, Justin Lokitz
- Narrado por: Fleet Cooper
- Duración: 6 h y 29 m
- Versión completa
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General4 out of 5 stars 34
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Narración:4.5 out of 5 stars 29
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Historia4.5 out of 5 stars 29
This book stitches together a complete design journey from beginning to end in a way that you've likely never seen before, guiding listeners (you) step-by-step in a practical way from the initial spark of an idea all the way to scaling it into a better business. Design a Better Business includes a comprehensive set of tools (over 20 total!) and skills that will help you harness opportunity from uncertainty by building the right team(s) and balancing your point of view against new findings from the outside world.
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3 out of 5 stars
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Good for people who don't have an experience with Agile and Lean Startup
- De Jovan Vidic en 08-26-17
De: Patrick van der Pijl, y otros
Lo que los oyentes dicen sobre Data Science
Calificaciones medias de los clientesReseñas - Selecciona las pestañas a continuación para cambiar el origen de las reseñas.
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Total1 out of 5 stars
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Ejecución1 out of 5 stars
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Historia1 out of 5 stars
- Anonymous User
- 09-24-21
Poor written, very light knowledge of the subject
I listen for the half of the book. Felt like the content of each chapter was cut and paste, very repeatable and very trivial. Based on the content of the book the author doesn't know what Data Science field is, thus even for the introduction to the Data Science it is simply incorrect. Very bad book. Don't waist your time.
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