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Data Science
- A Comprehensive Guide to Data Science, Data Analytics, Data Mining, Artificial Intelligence, Machine Learning, and Big Data
- Narrated by: Sam Slydell
- Length: 6 hrs and 10 mins
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Data Science
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Publisher's summary
If you want to learn about data science and big data, then pay attention....
Two manuscripts in one audiobook:
- 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
- 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
Some of the topics covered in Part 1 of this audiobook include:
- 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!
Some of the topics covered in Part 2 of this audiobook include:
- What is big data, and why is it important?
- The five V’s behind big data
- How big data is already impacting your life, and where big data may be headed
- How big data and your everyday devices and appliances will come together in unexpected ways via the Internet of Things
- How companies and governments are using predictive analytics to get ahead of the competition or improve service
- How big data is used for fraud detection
- The relationship between big data, data analytics, and business intelligence
- Insights into how big data impacts privacy issues
- The pros and cons regarding big data
- And much, much more!
So if you want to learn more about data science and big data, click the "buy" button!
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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
- By Joe V on 03-29-19
By: Lasse Rouhiainen
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Machine, Platform, Crowd
- Harnessing Our Digital Future
- By: Erik Brynjolfsson, Andrew McAfee
- Narrated by: Jeff Cummings
- Length: 10 hrs and 57 mins
- Unabridged
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Overall4.5 out of 5 stars 1,195
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Performance4.5 out of 5 stars 1,002
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Story4.5 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
- By Dan Collins on 08-11-17
By: Erik Brynjolfsson, and others
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Human + Machine
- Reimagining Work in the Age of AI
- By: Paul R. Daugherty, H. James Wilson
- Narrated by: Jamie Renell
- Length: 5 hrs and 55 mins
- Unabridged
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Overall4 out of 5 stars 331
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Performance4.5 out of 5 stars 283
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Story4 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
- By C. Surdak on 07-30-18
By: Paul R. Daugherty, and others
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Big Data in Practice
- How 45 Successful Companies Used Big Data Analytics to Deliver Extraordinary Results
- By: Bernard Marr
- Narrated by: Piers Hampton
- Length: 7 hrs and 25 mins
- Unabridged
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Overall4 out of 5 stars 68
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Performance4 out of 5 stars 58
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Story4 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
- By Capnbody on 01-08-18
By: Bernard Marr
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Power and Prediction
- The Disruptive Economics of Artificial Intelligence
- By: Ajay Agrawal, Joshua Gans, Avi Goldfarb
- Narrated by: Tom Beyer
- Length: 10 hrs and 7 mins
- Unabridged
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Overall4.5 out of 5 stars 78
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Performance4.5 out of 5 stars 69
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Story4.5 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
- By Lucy A. Pithecus on 11-16-22
By: Ajay Agrawal, and others