Machines That Learn
Language: English
Published by Hill and Griffith, 2023
- Softcover
- New

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Softcover
Condition: New
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- Title
- Machines That Learn
- Author
- Richard Griffith
- Publisher
- Hill and Griffith
- Publication year
- 2023
- Condition
- New
- Binding
- Paperback
- Language
- English
- ISBN 13
- 9798988494300
- Item weight
- 122 grams
The Future Isn’t Coming—It’s Learning.
What happens when the tools we build start to think for themselves?
For the first time in human history, we are sharing the planet with machines that don’t just follow instructions—they learn from experience. From the way we work to the way we solve the world’s biggest mysteries, Artificial Intelligence is rewriting the rules of reality. It is the "steam engine" of the 21st century, but instead of replacing muscles, it is augmenting the human mind.
Machines that Learn is a vibrant, accessible guide designed for the generation that will lead this revolution. While the tech world often feels like a "black box," this book pulls back the curtain. It explores how digital computers—using the same basic operations they’ve always used—have suddenly mastered tasks once thought to be uniquely human, from visual recognition to complex reasoning.
This isn’t just a book about coding; it’s a roadmap for the future. As the definition of "work" shifts and humanity enters a potential golden age, today’s youth face a critical choice: Will we master these tools, or be mastered by the changes they bring?
With a focus on visual understanding and a spirit of discovery, Machines that Learn prepares the leaders of tomorrow to navigate the challenges, seize the opportunities, and use AI to build a better world for everyone.
The journey has already begun. Are you ready to lead the way?
“For more than 250 years the fundamental drivers of economic growth have been technological innovations. The most important of these are what economists call general-purpose technologies – a category that includes the steam engine, electricity, and the internal combustion engine. The most important general-purpose technology of our era is artificial intelligence, particularly machine learning.” Erik Brynjolfsson and Andrew McAfee, 2018
What happens when the tools we build start to think for themselves?
For the first time in human history, we are sharing the planet with machines that don’t just follow instructions—they learn from experience. From the way we work to the way we solve the world’s biggest mysteries, Artificial Intelligence is rewriting the rules of reality. It is the "steam engine" of the 21st century, but instead of replacing muscles, it is augmenting the human mind.
Machines that Learn is a vibrant, accessible guide designed for the generation that will lead this revolution. While the tech world often feels like a "black box," this book pulls back the curtain. It explores how digital computers—using the same basic operations they’ve always used—have suddenly mastered tasks once thought to be uniquely human, from visual recognition to complex reasoning.
This isn’t just a book about coding; it’s a roadmap for the future. As the definition of "work" shifts and humanity enters a potential golden age, today’s youth face a critical choice: Will we master these tools, or be mastered by the changes they bring?
With a focus on visual understanding and a spirit of discovery, Machines that Learn prepares the leaders of tomorrow to navigate the challenges, seize the opportunities, and use AI to build a better world for everyone.
The journey has already begun. Are you ready to lead the way?
“For more than 250 years the fundamental drivers of economic growth have been technological innovations. The most important of these are what economists call general-purpose technologies – a category that includes the steam engine, electricity, and the internal combustion engine. The most important general-purpose technology of our era is artificial intelligence, particularly machine learning.” Erik Brynjolfsson and Andrew McAfee, 2018
"Synopsis" may belong to another edition of this title.
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|---|---|---|
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