-
ARTIFICIAL INTELLIGENCE
- The Key to Tackling Today’s and Future Problems
- Narrado por: Steven A. Gannett
- Duración: 5 h y 18 m
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Resumen del Editor
Artificial intelligence's central issues concern reasoning, knowledge, planning, learning, natural language processing and perception, and the ability to move and manipulate objects. Statistical methods, computational intelligence, soft computing, and conventional symbolic algebra are all examples of approaches.
Artificial intelligence uses many tools, including variants of search and mathematical optimization, logic, and probability and economics-based methods.
This audiobook includes:
- Different categories of artificial intelligence
- Why should you study artificial intelligence?
- What are the applications of artificial intelligence?
- Health care benefits of artificial intelligence
- What are the threats to health care from artificial intelligence?
- Artificial intelligence in business
- Artificial intelligence in education
- Artificial intelligence in finance
- Artificial intelligence in law
- Artificial intelligence in manufacturing
- Artificial intelligence in banking
- Artificial intelligence in transportation
- Artificial intelligence history and evolution
- Artificial intelligence myths
- Conversational AI
- Artificial intelligence software
- How AI is transforming the e-commerce industry
- Data mining vs. machine learning vs. artificial intelligence vs. deep learning
- Definition of machine learning and why it is important
- Deep learning
- Machine-learning vs. data mining
- Machine-learning vs. deep learning vs. data mining
- How artificial intelligence has impacted our lives
- How to market chatbots
- How to build an intelligent natural language processing (NLP) chatbot
- How is artificial being used to combat COVID-19?
While it remains to be seen how beneficial and effective AI technology will be in the future, it cannot be denied that during this time of crisis, this 21st-century technology has proven to be an asset in making the process more convenient and easier for medical experts and personnel, and the nation.
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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 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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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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Very insightful, but quite boring
- De Riaan en 02-21-17
De: John Rossman
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Computing: A Concise History
- The MIT Press Essential Knowledge Series
- De: Paul E. Ceruzzi
- Narrado por: Tim Andres Pabon
- Duración: 3 h y 56 m
- Versión completa
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The history of computing could be told as the story of hardware and software or the story of the Internet or the story of "smart" handheld devices, with subplots involving IBM, Microsoft, Apple, Facebook, and Twitter. In this concise and accessible account of the invention and development of digital technology, computer historian Paul Ceruzzi offers a broader and more useful perspective. He identifies four major threads that run throughout all of computing's technological development.
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Hard to Believe it an "MIT Press" Thing
- De Sam en 05-15-22
De: Paul E. Ceruzzi
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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
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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
- De Nathan Burnham en 05-06-17
De: Malcolm Frank, y otros
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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
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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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Inspire system thinking with informative examples
- De Lucy A. Pithecus en 11-16-22
De: Ajay Agrawal, y otros
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