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The Deep Learning Revolution
- ナレーター: Shawn Compton
- 再生時間: 8 時間 5 分
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Deep Learning
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In this volume in the MIT Press Essential Knowledge series, computer scientist John Kelleher offers an accessible and concise but comprehensive introduction to the fundamental technology at the heart of the artificial intelligence revolution. Kelleher explains some of the basic concepts in deep learning, presents a history of advances in the field, and discusses the current state of the art.
著者: John D. Kelleher
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Author Martin Kleppmann helps you navigate the diverse data landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications.
著者: Martin Kleppmann
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Robot-Proof
- Higher Education in the Age of Artificial Intelligence
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In Robot-Proof, Northeastern University president Joseph Aoun proposes a way to educate the next generation of college students to invent, to create, and to discover - to fill needs in society that even the most sophisticated artificial intelligence agent cannot. A "robot-proof" education, Aoun argues, is not concerned solely with topping up students' minds with high-octane facts. Rather, it calibrates them with a creative mindset and the mental elasticity to invent, discover, or create something valuable to society.
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Language and the Mind
- 著者: Spencer D. Kelly, The Great Courses
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- 再生時間: 11 時間 50 分
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What is our species' greatest invention? Medicine, computers, space travel? Not even close. The innovation that underlies each of our past achievements and those we still aspire to is language. Language is the ultimate invention of Homo sapiens - one that has allowed us to change the physical and social world around us in every conceivable way, and an invention that has fundamentally changed us, as well.
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- 投稿者: 堀井碩史 日付: 2023/11/27
著者: Spencer D. Kelly, 、その他
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Algorithms to Live By
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From finding a spouse to finding a parking spot, from organizing one's inbox to understanding the workings of human memory, Algorithms to Live By transforms the wisdom of computer science into strategies for human living.
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The Metaverse
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The term metaverse is suddenly everywhere, from debates over Fortnite to the pages of the New York Times to the speeches of Mark Zuckerberg, who proclaimed in June 2021 that “the overarching goal” of Facebook is to “bring the metaverse to life”. But what, exactly, is the metaverse? As pioneering theorist and venture capitalist Matthew Ball explains, it is the successor to the mobile internet that has defined the last two decades.
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Deep Learning
- MIT Press Essential Knowledge Series
- 著者: John D. Kelleher
- ナレーター: Joel Richards
- 再生時間: 5 時間 49 分
- 完全版
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In this volume in the MIT Press Essential Knowledge series, computer scientist John Kelleher offers an accessible and concise but comprehensive introduction to the fundamental technology at the heart of the artificial intelligence revolution. Kelleher explains some of the basic concepts in deep learning, presents a history of advances in the field, and discusses the current state of the art.
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Designing Data-Intensive Applications
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Author Martin Kleppmann helps you navigate the diverse data landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications.
著者: Martin Kleppmann
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Robot-Proof
- Higher Education in the Age of Artificial Intelligence
- 著者: Joseph E. Aoun
- ナレーター: John Glouchevitch
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In Robot-Proof, Northeastern University president Joseph Aoun proposes a way to educate the next generation of college students to invent, to create, and to discover - to fill needs in society that even the most sophisticated artificial intelligence agent cannot. A "robot-proof" education, Aoun argues, is not concerned solely with topping up students' minds with high-octane facts. Rather, it calibrates them with a creative mindset and the mental elasticity to invent, discover, or create something valuable to society.
著者: Joseph E. Aoun
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Language and the Mind
- 著者: Spencer D. Kelly, The Great Courses
- ナレーター: Spencer D. Kelly
- 再生時間: 11 時間 50 分
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What is our species' greatest invention? Medicine, computers, space travel? Not even close. The innovation that underlies each of our past achievements and those we still aspire to is language. Language is the ultimate invention of Homo sapiens - one that has allowed us to change the physical and social world around us in every conceivable way, and an invention that has fundamentally changed us, as well.
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Really interesting
- 投稿者: 堀井碩史 日付: 2023/11/27
著者: Spencer D. Kelly, 、その他
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Algorithms to Live By
- The Computer Science of Human Decisions
- 著者: Brian Christian, Tom Griffiths
- ナレーター: Brian Christian
- 再生時間: 11 時間 50 分
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総合評価
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From finding a spouse to finding a parking spot, from organizing one's inbox to understanding the workings of human memory, Algorithms to Live By transforms the wisdom of computer science into strategies for human living.
著者: Brian Christian, 、その他
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The Metaverse
- And How It Will Revolutionize Everything
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- ナレーター: Luis Moreno
- 再生時間: 13 時間 38 分
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The term metaverse is suddenly everywhere, from debates over Fortnite to the pages of the New York Times to the speeches of Mark Zuckerberg, who proclaimed in June 2021 that “the overarching goal” of Facebook is to “bring the metaverse to life”. But what, exactly, is the metaverse? As pioneering theorist and venture capitalist Matthew Ball explains, it is the successor to the mobile internet that has defined the last two decades.
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The World as I See It
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Including letters, speeches, articles, and essays written before 1935, this collection offers a complete portrait of Einstein as a humanitarian and as a human being trying to make sense of the world changing around him.
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The Meaning of it All
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In this collection of lectures that Richard Feynman originally gave in 1963, unpublished during his lifetime, the Nobel Prize-winning physicist discusses several of the ultimate questions of science. What is the nature of the tension between science and religious faith? Why does uncertainty play such a crucial role in the scientific imagination? Is this really a scientific age?
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How to Say It: Words That Make a Difference
- 著者: Allison Friederichs Atkison, The Great Courses
- ナレーター: Allison Friederichs Atkison
- 再生時間: 4 時間 44 分
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Words. We use them all the time, every day, mostly without giving them much thought at all. We take for granted that they’re here at our disposal whenever we need them. But if you’ve ever wished you could communicate more effectively, words are the place to start. It’s incumbent upon you to choose the best words to accomplish your goals, because how you choose to communicate influences—well, everything! The power of communication shapes our professional goals, our relationships, and our lives—so the words we choose to use carry a great deal of power.
著者: Allison Friederichs Atkison, 、その他
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The Master Algorithm
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- 著者: Pedro Domingos
- ナレーター: Mel Foster
- 再生時間: 13 時間 3 分
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Under the aegis of machine learning in our data-driven machine age, computers are programming themselves and learning about - and solving - an extraordinary range of problems, from the mundane to the most daunting. Today it is machine learning programs that enable Amazon and Netflix to predict what users will like, Apple to power Siri's ability to understand voices, and Google to pilot cars.
著者: Pedro Domingos
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How to Speak Effectively in Any Setting
- 著者: Molly Bishop Shadel, The Great Courses
- ナレーター: Molly Bishop Shadel
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The power of an effective speech is undeniable. It has the capacity to engage, inform, motivate, and create change in an audience - and in the world. In this compelling 24-lesson course, How to Speak Effectively in Any Setting, taught by Molly Bishop Shadel, Professor of Law at the University of Virginia School of Law, learn the fine art of speaking clearly, effectively, and persuasively in contexts across the spectrum, from the board room to the bar room and everywhere in between.
著者: Molly Bishop Shadel, 、その他
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The Year in Tech 2023
- The Insights You Need from Harvard Business Review
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Easy-to-use AI tools, contactless commerce, crypto for business, the mature metaverse—new technologies like these are reshaping organizations at the hybrid office, on factory floors, and in the C-suite. What should you and your company be doing now to take advantage of the new opportunities these technologies are creating—and avoid falling victim to disruption? The Year in Tech 2023: The Insights You Need from Harvard Business Review will help you understand what the latest and most important tech innovations mean for your organization.
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What Do You Care What Other People Think?
- Further Adventures of a Curious Character
- 著者: Richard P. Feynman, Ralph Leighton
- ナレーター: Raymond Todd
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One of the greatest physicists of the twentieth century, Richard Feynman possessed an unquenchable thirst for adventure and an unparalleled ability to tell the stories of his life. "What Do You Care What Other People Think?" is Feynman's last literary legacy, prepared with his friend and fellow drummer, Ralph Leighton.
著者: Richard P. Feynman, 、その他
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Innovation and Entrepreneurship
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- ナレーター: Michael Wells
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This is the first book to present innovation and entrepreneurship as a purposeful and systematic discipline. It clearly explains and analyzes the challenges and opportunities of America's new entrepreneurial economy. Peter Drucker, the most influential and widely-read thinker and writer on modern organizations, gives us a superbly practical book that explains what established businesses, public service institutions, and new ventures have to know, have to learn, and have to do in today's economy and marketplace.
著者: Peter F. Drucker
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AI Superpowers
- China, Silicon Valley, and the New World Order
- 著者: Kai-Fu Lee
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In AI Superpowers, Kai-fu Lee argues powerfully that because of these unprecedented developments in AI, dramatic changes will be happening much sooner than many of us expected. Indeed, as the US-Sino AI competition begins to heat up, Lee urges the US and China to both accept and to embrace the great responsibilities that come with significant technological power.
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30% Great, 70% Platitudes
- 投稿者: Amazon カスタマー 日付: 2022/02/16
著者: Kai-Fu Lee
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Nine Things Successful People Do Differently
- 著者: Heidi Grant Halvorson
- ナレーター: Shannon Parks
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Decades of research on achievement suggests people at the top of their game tend to reach their goals because of what they do - not because of who they are. In this short, provocative, and useful HBR Single, motivational psychologist Heidi Grant Halvorson translates the psychological secrets of these winning human beings for your use.
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The Emperor's New Mind
- Concerning Computers, Minds, and the Laws of Physics
- 著者: Roger Penrose
- ナレーター: Julian Elfer
- 再生時間: 18 時間 27 分
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In this absorbing and frequently contentious book, Roger Penrose puts forward his view that there are some facets of human thinking that can never be emulated by a machine. The book's central concern is what philosophers call the "mind-body problem". Penrose examines what physics and mathematics can tell us about how the mind works, what they can't, and what we need to know to understand the physical processes of consciousness.
著者: Roger Penrose
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Improve Your Global Business English
- The Essential Toolkit for Writing and Communicating Across Borders
- 著者: Fiona Talbot, Sudakshina Bhattacharjee
- ナレーター: Teri Clark Linden
- 再生時間: 7 時間 31 分
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In a business world that spans several continents, it is no longer common for everyone to speak English as a first language. Whether you speak English as a first, second, or even third language, intercultural business communication means that getting it right first time has never been more important for you and your organization. English can never be standardized in the global and digital marketplace; instead, we can learn how to customize business English according to our own values and culture and communicate successfully across borders.
著者: Fiona Talbot, 、その他
批評家のレビュー
"If you want to understand AI, you need to read The Deep Learning Revolution." (Erik Brynjolfsson, coauthor of The Second Machine Age)
あらすじ・解説
How deep learning - from Google Translate to driverless cars to personal cognitive assistants - is changing our lives and transforming every sector of the economy.
The deep-learning revolution has brought us driverless cars, the greatly improved Google Translate, fluent conversations with Siri and Alexa, and enormous profits from automated trading on the New York Stock Exchange. Deep-learning networks can play poker better than professional poker players and defeat a world champion at Go. In this book, Terry Sejnowski explains how deep learning went from being an arcane academic field to a disruptive technology in the information economy.
Sejnowski played an important role in the founding of deep learning, as one of a small group of researchers in the 1980s who challenged the prevailing logic-and-symbol based version of AI. The new version of AI Sejnowski and others developed, which became deep learning, is fueled instead by data. Deep networks learn from data in the same way that babies experience the world, starting with fresh eyes and gradually acquiring the skills needed to navigate novel environments. It took nature many millions of years to evolve human intelligence; AI is on a trajectory measured in decades. Sejnowski prepares us for a deep learning future.