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How Smart Machines Think
87% of respondents would recommend this to a friend
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Gerrish offers an engaging and accessible overview of the breakthroughs in artificial intelligence and machine learning that have made today’s machines so smart.
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- Everything you want to know about the breakthroughs in AI technology, machine learning, and deep learning—as seen in self-driving cars, Netflix recommendations, and more. The future is here: Self-driving cars are on the streets, an algorithm gives you movie and TV recommendations, IBM’s Watson triumphed on Jeopardy over puny human brains, computer programs can be trained to play Atari games. But how do all these things work? In this book, Sean Gerrish offers an engaging and accessible overview of the breakthroughs in artificial intelligence and machine learning that have made today’s machines so smart. Gerrish outlines some of the key ideas that enable intelligent machines to perceive and interact with the world. He describes the software architecture that allows self-driving cars to stay on the road and to navigate crowded urban environments; the million-dollar Netflix competition for a better recommendation engine (which had an unexpected ending); and how programmers trained computers to perform certain behaviors by offering them treats, as if they were training a dog. He explains how artificial neural networks enable computers to perceive the world—and to play Atari video games better than humans. He explains Watson’s famous victory on Jeopardy, and he looks at how computers play games, describing AlphaGo and Deep Blue, which beat reigning world champions at the strategy games of Go and chess. Computers have not yet mastered everything, however; Gerrish outlines the difficulties in creating intelligent agents that can successfully play video games like StarCraft that have evaded solution—at least for now. Gerrish weaves the stories behind these breakthroughs into the narrative, introducing readers to many of the researchers involved, and keeping technical details to a minimum. Science and technology buffs will find this book an essential guide to a future in which machines can outsmart people.
| Publisher | The MIT Press |
| Publication date | October 30, 2018 |
| Language | English |
| File size | 17.4 MB |
| Screen Reader | Supported |
| Enhanced typesetting | Enabled |
| X-Ray | Not Enabled |
| Word Wise | Not Enabled |
| Print length | 301 pages |
| ISBN-13 | 978-0262347945 |
| Page Flip | Enabled |
| Country of Origin | This item will be imported from US |
| What is in the box | How Smart Machines Think... For more details, please check description/product details |
| Item Weight | 0.2 lbs (90 grams) |
Who Should Buy?
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AI Enthusiasts
Individuals interested in artificial intelligence and machine learning will find insightful perspectives and explanations in this book.
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Tech Professionals
Professionals in the tech field can enhance their understanding of smart machines and their applications in various industries.
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Students
Students studying computer science or related fields will benefit academically from the concepts and analyses presented.
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Casual Readers
Those looking for light reading or entertainment may find the technical content challenging and not engaging enough.
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AI & Semantics Editorial Review
How Smart Machines Think offers a comprehensive yet accessible exploration into artificial intelligence, covering topics from autonomous vehicle algorithms to Netflix's recommendation engines. The author, a machine learning PhD at Google, adeptly breaks down complex systems, making it suitable for college-level Computer Science students and professionals alike. While the book provides lucid explanations and detailed discussions, readers should be aware that it leans towards a technical audience and may not engage those unfamiliar with programming concepts. Some images in the Kindle format lack clarity, but the overall informative content compensates, as many reviewers noted the enjoyable readability alongside educational value.
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Pros
- Written by a knowledgeable machine learning PhD
- Great for college-level Computer Science students
- Covers various AI-powered systems in detail
- Accessible explanations of complex topics
- Engaging overview of autonomous vehicles
Cons
- Some images in the Kindle version may appear unclear
Product Price History
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Features & Benefits
- Discover the breakthroughs in AI technology and machine learning.
- Learn how self-driving cars navigate urban environments.
- Understand the mechanics behind Netflix recommendations.
- Explore Watson's triumph on Jeopardy and how computers outsmart humans.
- Get insights into the training of intelligent machines using algorithms.
- Essential guide for science and technology enthusiasts.
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