인공지능

학습하고, 추론하며, 우리의 세계를 재편할 수 있는 지능형 기계를 통해 인류 문명의 다음 위대한 도약이 펼쳐지고 있습니다. 이 책들은 실용적 응용과 기술적 혁신부터 의식, 고용, 그리고 디지털 창조물과 함께하는 인류의 미래에 대한 깊은 질문에 이르기까지 인공지능의 놀라운 잠재력과 심오한 도전을 탐구합니다.

인공지능 도서 요약

The Master Algorithm

저자: Pedro Domingos • 2015

Machine learning's rival schools share a hidden core. Finding it could unlock general intelligence.

3.73

6,000+

🤖 Machine Learning 📚 Popular Science 🧠 Superintelligence 📊 Big Data ⚖️ Ai Ethics

The Master Algorithm

Machine learning's rival schools share a hidden core. Finding it could unlock general intelligence.

저자: Pedro Domingos 2015 352 페이지

3.73

6,000+ 개의 평점

🤖 Machine Learning 📚 Popular Science 🧠 Superintelligence 📊 Big Data ⚖️ Ai Ethics

Why Greatness Cannot Be Planned

저자: Kenneth O. Stanley • 2015

Ambitious objectives blind you to the very discoveries that make them obsolete.

3.98

1,000+

💡 Innovation Studies 🚫 Goal Skepticism ✨ Serendipity And Discovery 🧬 Evolutionary Thinking 🎨 Creative Process

Why Greatness Cannot Be Planned

Ambitious objectives blind you to the very discoveries that make them obsolete.

저자: Kenneth O. Stanley 2015 154 페이지

3.98

1,000+ 개의 평점

💡 Innovation Studies 🚫 Goal Skepticism ✨ Serendipity And Discovery 🧬 Evolutionary Thinking 🎨 Creative Process

Computing machinery and intelligence

저자: Alan M. Turing • 1950

Fool the interrogator through conversation alone, and the machine deserves to be called intelligent.

4.15

500+

🧠 Philosophy Of Mind 🤖 Machine Cognition 📜 Foundational Texts 🔢 Computability 💻 Early Computing

Computing machinery and intelligence

Fool the interrogator through conversation alone, and the machine deserves to be called intelligent.

저자: Alan M. Turing 1950 24 페이지

4.15

500+ 개의 평점

🧠 Philosophy Of Mind 🤖 Machine Cognition 📜 Foundational Texts 🔢 Computability 💻 Early Computing

Genius Makers

저자: Cade Metz • 2021

The outcasts who revived neural networks, and the billion-dollar bidding war that followed.

4.26

3,000+

🤖 Ai History 👥 Ai Pioneers ⚔️ Big Tech Rivalry ⚖️ Ai Ethics 🧬 Deep Learning

Genius Makers

The outcasts who revived neural networks, and the billion-dollar bidding war that followed.

저자: Cade Metz 2021 384 페이지

4.26

3,000+ 개의 평점

🤖 Ai History 👥 Ai Pioneers ⚔️ Big Tech Rivalry ⚖️ Ai Ethics 🧬 Deep Learning

Our Final Invention

저자: James Barrat • 2013

An intelligence greater than human will not hate us; it simply won't need us.

3.72

3,000+

🤖 Ai Safety ⚠️ Existential Risk 🧠 Superintelligence 🧩 Alignment Problem ⚔️ Ai Arms Race

Our Final Invention

An intelligence greater than human will not hate us; it simply won't need us.

저자: James Barrat 2013 322 페이지

3.72

3,000+ 개의 평점

🤖 Ai Safety ⚠️ Existential Risk 🧠 Superintelligence 🧩 Alignment Problem ⚔️ Ai Arms Race

Superminds

저자: Thomas W. Malone • 2018

Genius is a group activity. And computers have just earned their seat at the table.

3.56

343

🧠 Collective Intelligence 🏗️ Organizational Design 🤖 Future Of Work 🔄 Systems Thinking 🗳️ Group Decision Making

Superminds

Genius is a group activity. And computers have just earned their seat at the table.

저자: Thomas W. Malone 2018 384 페이지

3.56

343 개의 평점

🧠 Collective Intelligence 🏗️ Organizational Design 🤖 Future Of Work 🔄 Systems Thinking 🗳️ Group Decision Making

마케팅 인공지능

저자: 폴 로처 • 2022

How to separate AI hype from real marketing use cases, and what to automate first.

3.66

132

🖥️ Marketing Technology 🤖 Ai In Business 📈 Marketing Strategy 🧠 Machine Learning ⚙️ Marketing Automation

마케팅 인공지능

How to separate AI hype from real marketing use cases, and what to automate first.

저자: 폴 로처 2022 256 페이지

3.66

132 개의 평점

🖥️ Marketing Technology 🤖 Ai In Business 📈 Marketing Strategy 🧠 Machine Learning ⚙️ Marketing Automation

Hello World

저자: Hannah Fry • 2018

When algorithms police, diagnose, and drive, blind trust becomes the real danger.

4.11

11,000+

🧭 Data Ethics 📊 Algorithmic Bias 👥 Human In The Loop 🚔 Predictive Policing 🔒 Data Privacy

Hello World

When algorithms police, diagnose, and drive, blind trust becomes the real danger.

저자: Hannah Fry 2018 256 페이지

4.11

11,000+ 개의 평점

🧭 Data Ethics 📊 Algorithmic Bias 👥 Human In The Loop 🚔 Predictive Policing 🔒 Data Privacy

The Future Is Faster Than You Think

저자: Peter H. Diamandis • 2020

Breakthroughs are converging. The next decade will deliver a century's worth of change.

4.13

5,000+

🧬 Technology Convergence 🔬 Emerging Technologies 💥 Business Disruption 🚀 Disruptive Innovation 🔮 Future Forecasting

The Future Is Faster Than You Think

Breakthroughs are converging. The next decade will deliver a century's worth of change.

저자: Peter H. Diamandis 2020 384 페이지

4.13

5,000+ 개의 평점

🧬 Technology Convergence 🔬 Emerging Technologies 💥 Business Disruption 🚀 Disruptive Innovation 🔮 Future Forecasting

The Big Nine

저자: Amy Webb • 2019

Nine companies control AI's future. Their blind spots are becoming everyone's problem.

3.75

2,000+

🏢 Big Tech ⚖️ Ai Ethics 📊 Algorithmic Bias 🛡️ Ai Safety 🏛️ Ai Governance

The Big Nine

Nine companies control AI's future. Their blind spots are becoming everyone's problem.

저자: Amy Webb 2019 336 페이지

3.75

2,000+ 개의 평점

🏢 Big Tech ⚖️ Ai Ethics 📊 Algorithmic Bias 🛡️ Ai Safety 🏛️ Ai Governance

How to Create a Mind

저자: Ray Kurzweil • 2012

The brain runs on 300 million pattern recognizers. Copy that hierarchy, and human-level AI is next.

3.96

7,000+

🤖 Artificial Intelligence 🧠 Cognitive Science 💻 Computational Neuroscience 🔍 Pattern Recognition 🧬 Brain-Inspired Ai

How to Create a Mind

The brain runs on 300 million pattern recognizers. Copy that hierarchy, and human-level AI is next.

저자: Ray Kurzweil 2012 336 페이지

3.96

7,000+ 개의 평점

🤖 Artificial Intelligence 🧠 Cognitive Science 💻 Computational Neuroscience 🔍 Pattern Recognition 🧬 Brain-Inspired Ai

Deep Thinking

저자: Garry Kasparov • 2017

Beaten by Deep Blue, Kasparov argues the best moves come from humans and machines thinking together.

3.88

3,000+

♟️ Chess History 🤖 Ai Development 🤝 Human-Ai Collaboration ⚡ Technological Disruption 🧠 Competitive Psychology

Deep Thinking

Beaten by Deep Blue, Kasparov argues the best moves come from humans and machines thinking together.

저자: Garry Kasparov 2017 304 페이지

3.88

3,000+ 개의 평점

♟️ Chess History 🤖 Ai Development 🤝 Human-Ai Collaboration ⚡ Technological Disruption 🧠 Competitive Psychology

You Look Like a Thing and I Love You

저자: Janelle Shane • 2019

AI isn't outsmarting us; it's misnaming a kitten. A tour of machine learning's weirdest failures.

4.11

4,000+

🤖 Ai Explainers ⚠️ Ai Limitations ⚖️ Algorithmic Bias 🎨 Ai Creativity 😂 Technology Humor

You Look Like a Thing and I Love You

AI isn't outsmarting us; it's misnaming a kitten. A tour of machine learning's weirdest failures.

저자: Janelle Shane 2019 272 페이지

4.11

4,000+ 개의 평점

🤖 Ai Explainers ⚠️ Ai Limitations ⚖️ Algorithmic Bias 🎨 Ai Creativity 😂 Technology Humor

Rise of the Robots

저자: Martin Ford • 2015

Productivity soars, wages stagnate, and education won't fix it. The real economics of automation.

3.96

9,000+

🤖 Technological Unemployment 🧠 Artificial Intelligence 📉 Income Inequality 💰 Basic Income 🔮 Future Of Work

Rise of the Robots

Productivity soars, wages stagnate, and education won't fix it. The real economics of automation.

저자: Martin Ford 2015 352 페이지

3.96

9,000+ 개의 평점

🤖 Technological Unemployment 🧠 Artificial Intelligence 📉 Income Inequality 💰 Basic Income 🔮 Future Of Work

Machine, Platform, Crowd

저자: Andrew McAfee • 2018

Machines outthink experts, platforms own customers, and outsiders solve what insiders cannot.

4.04

2,000+

🏢 Technology Strategy 🛒 Platform Economics 📈 Data-Driven Decisions 👥 Crowdsourcing 🤖 Automation And Jobs

Machine, Platform, Crowd

Machines outthink experts, platforms own customers, and outsiders solve what insiders cannot.

저자: Andrew McAfee 2018 416 페이지

4.04

2,000+ 개의 평점

🏢 Technology Strategy 🛒 Platform Economics 📈 Data-Driven Decisions 👥 Crowdsourcing 🤖 Automation And Jobs

A World Without Work

저자: Daniel Susskind • 2020

Past automation always created more jobs than it killed. The evidence that this time is different.

3.83

1,000+

🏭 Technological Unemployment 📊 Automation Economics 🌅 Post-Work Society 💰 Universal Basic Income 📈 Inequality Economics

A World Without Work

Past automation always created more jobs than it killed. The evidence that this time is different.

저자: Daniel Susskind 2020 307 페이지

3.83

1,000+ 개의 평점

🏭 Technological Unemployment 📊 Automation Economics 🌅 Post-Work Society 💰 Universal Basic Income 📈 Inequality Economics

The Experience Machine

저자: Andy Clark • 2023

Your brain guesses reality instead of recording it, and the mismatch shapes everything.

3.91

1,000+

🧠 Predictive Processing 💭 Consciousness Studies 🦾 Embodied Cognition 🌐 Distributed Cognition ❤️ Embodied Emotion

The Experience Machine

Your brain guesses reality instead of recording it, and the mismatch shapes everything.

저자: Andy Clark 2023 304 페이지

3.91

1,000+ 개의 평점

🧠 Predictive Processing 💭 Consciousness Studies 🦾 Embodied Cognition 🌐 Distributed Cognition ❤️ Embodied Emotion

Designing Machine Learning Systems

저자: Chip Huyen • 2022

Accuracy is not enough. An iterative playbook for machine learning systems that survive production.

4.45

1,000+

⚙️ Machine Learning Engineering 🔧 Mlops 🔄 Iterative Design 📋 Reproducible Ml 🤝 Ensemble Learning

Designing Machine Learning Systems

Accuracy is not enough. An iterative playbook for machine learning systems that survive production.

저자: Chip Huyen 2022 368 페이지

4.45

1,000+ 개의 평점

⚙️ Machine Learning Engineering 🔧 Mlops 🔄 Iterative Design 📋 Reproducible Ml 🤝 Ensemble Learning

Mindmasters

저자: Sandra Matz • 2025

Algorithms read personality from digital traces. The fix isn't privacy; it's collective ownership.

3.96

399

💻 Digital Psychology ⚖️ Tech Ethics 🏭 Surveillance Capitalism 📊 Behavioral Data 🔒 Data Privacy

Mindmasters

Algorithms read personality from digital traces. The fix isn't privacy; it's collective ownership.

저자: Sandra Matz 2025 240 페이지

3.96

399 개의 평점

💻 Digital Psychology ⚖️ Tech Ethics 🏭 Surveillance Capitalism 📊 Behavioral Data 🔒 Data Privacy

The Elements of Statistical Learning

저자: Trevor Hastie • 2001

The unified mathematical engine under linear regression, trees, and neural nets.

4.43

1,000+

📊 Statistical Learning 🎯 Supervised Learning ✅ Model Evaluation 🤝 Ensemble Learning ⚖️ Regularization Methods

The Elements of Statistical Learning

The unified mathematical engine under linear regression, trees, and neural nets.

저자: Trevor Hastie 2001 552 페이지

4.43

1,000+ 개의 평점

📊 Statistical Learning 🎯 Supervised Learning ✅ Model Evaluation 🤝 Ensemble Learning ⚖️ Regularization Methods

비즈니스를 위한 인공지능과 머신러닝

저자: 스티븐 핀레이 • 2018

ML projects fail for business reasons, not technical ones. The rules for getting it right.

4.14

207

🤖 Machine Learning Basics 📊 Predictive Analytics 👔 AI For Managers 📈 Data-Driven Strategy ⚖️ Ethical AI

비즈니스를 위한 인공지능과 머신러닝

ML projects fail for business reasons, not technical ones. The rules for getting it right.

저자: 스티븐 핀레이 2018 192 페이지

4.14

207 개의 평점

🤖 Machine Learning Basics 📊 Predictive Analytics 👔 AI For Managers 📈 Data-Driven Strategy ⚖️ Ethical AI

The Neuroscience of Intelligence

저자: Richard J. Haier • 2015

Intelligence is largely inherited and stubbornly hard to improve. The neuroscience is clear.

4.23

453

🧠 Cognitive Neuroscience 📊 IQ Research 🧬 Behavioral Genetics 🧪 Brain Training Myths 🏛️ Education Policy

The Neuroscience of Intelligence

Intelligence is largely inherited and stubbornly hard to improve. The neuroscience is clear.

저자: Richard J. Haier 2015 270 페이지

4.23

453 개의 평점

🧠 Cognitive Neuroscience 📊 IQ Research 🧬 Behavioral Genetics 🧪 Brain Training Myths 🏛️ Education Policy

Why Machines Learn

저자: Anil Ananthaswamy • 2024

The perceptron flopped but the math stayed: the linear algebra and calculus that built the AI age.

4.38

1,000+

📜 History Of Ai 🧬 Deep Learning 🧠 Neural Network Theory 📐 Linear Algebra 🔢 Mathematical Foundations

Why Machines Learn

The perceptron flopped but the math stayed: the linear algebra and calculus that built the AI age.

저자: Anil Ananthaswamy 2024 480 페이지

4.38

1,000+ 개의 평점

📜 History Of Ai 🧬 Deep Learning 🧠 Neural Network Theory 📐 Linear Algebra 🔢 Mathematical Foundations

Prediction Machines, Updated and Expanded

저자: Ajay Agrawal • 2022

AI is prediction that gets less costly. When it does, the structure of business shifts.

3.86

3,000+

📉 Ai Economics 🎯 Ai Strategy 🤝 Human-Ai Collaboration 📊 Data Strategy ⚖️ Ai Ethics

Prediction Machines, Updated and Expanded

AI is prediction that gets less costly. When it does, the structure of business shifts.

저자: Ajay Agrawal 2022 304 페이지

3.86

3,000+ 개의 평점

📉 Ai Economics 🎯 Ai Strategy 🤝 Human-Ai Collaboration 📊 Data Strategy ⚖️ Ai Ethics

The Emperor's New Mind

저자: Roger Penrose • 1989

Consciousness isn't computation. Proof spans Gödel's theorem to quantum gravity's missing laws.

3.91

7,000+

⚛️ Theoretical Physics 🧠 Philosophy Of Mind 🧩 Cognitive Science 🔢 Limits Of Computation 🏛️ Mathematical Platonism

The Emperor's New Mind

Consciousness isn't computation. Proof spans Gödel's theorem to quantum gravity's missing laws.

저자: Roger Penrose 1989 636 페이지

3.91

7,000+ 개의 평점

⚛️ Theoretical Physics 🧠 Philosophy Of Mind 🧩 Cognitive Science 🔢 Limits Of Computation 🏛️ Mathematical Platonism

The Age of Spiritual Machines

저자: Ray Kurzweil • 1998

Exponential growth puts thinking machines in our future; the only question is what we become after.

3.89

4,000+

🤖 Technological Singularity 📈 Exponential Growth 🧬 Transhumanism ⚖️ Ai Ethics 🧠 Evolution Of Intelligence

The Age of Spiritual Machines

Exponential growth puts thinking machines in our future; the only question is what we become after.

저자: Ray Kurzweil 1998 681 페이지

3.89

4,000+ 개의 평점

🤖 Technological Singularity 📈 Exponential Growth 🧬 Transhumanism ⚖️ Ai Ethics 🧠 Evolution Of Intelligence

HBR Guide to Generative AI for Managers

저자: Elisa Farri • 2025

Gen AI is more than a productivity tool. Here's how to make it a strategic partner.

3.67

111

🏢 Ai In Business 🤝 Ai Collaboration ✍️ Ai Prompting ⚡ Ai Productivity 🔮 Future Of Work

HBR Guide to Generative AI for Managers

Gen AI is more than a productivity tool. Here's how to make it a strategic partner.

저자: Elisa Farri 2025 258 페이지

3.67

111 개의 평점

🏢 Ai In Business 🤝 Ai Collaboration ✍️ Ai Prompting ⚡ Ai Productivity 🔮 Future Of Work

The Exponential Age

저자: Azeem Azhar • 2021

Tech accelerates exponentially; institutions crawl. The gap is reshaping wealth, work, and war.

3.98

1,000+

🤖 Technology And Society ⚡ Digital Disruption 🐌 Institutional Lag 🏆 Winner-Takes-All Markets 💻 Platform Economy

The Exponential Age

Tech accelerates exponentially; institutions crawl. The gap is reshaping wealth, work, and war.

저자: Azeem Azhar 2021 403 페이지

3.98

1,000+ 개의 평점

🤖 Technology And Society ⚡ Digital Disruption 🐌 Institutional Lag 🏆 Winner-Takes-All Markets 💻 Platform Economy

What Is ChatGPT Doing... and Why Does It Work?

저자: Stephen Wolfram • 2023

ChatGPT is just next-word prediction. The breakthrough is what that reveals about language itself.

3.85

1,000+

🤖 Large Language Models 🧠 Neural Networks 💬 Ai And Language ⚙️ How Ai Works 💻 Computational Thinking

What Is ChatGPT Doing... and Why Does It Work?

ChatGPT is just next-word prediction. The breakthrough is what that reveals about language itself.

저자: Stephen Wolfram 2023 143 페이지

3.85

1,000+ 개의 평점

🤖 Large Language Models 🧠 Neural Networks 💬 Ai And Language ⚙️ How Ai Works 💻 Computational Thinking

Computer Power and Human Reason

저자: Joseph Weizenbaum • 1976

The computer's greatest danger isn't outthinking us; it's that we'll remake ourselves in its image.

4.31

294

🦾 Philosophy Of Technology 🤖 Ai Criticism ⚖️ Computer Ethics 🧮 Instrumental Reason ⚙️ Technological Determinism

Computer Power and Human Reason

The computer's greatest danger isn't outthinking us; it's that we'll remake ourselves in its image.

저자: Joseph Weizenbaum 1976 300 페이지

4.31

294 개의 평점

🦾 Philosophy Of Technology 🤖 Ai Criticism ⚖️ Computer Ethics 🧮 Instrumental Reason ⚙️ Technological Determinism

Tomorrow's Lawyers

저자: Richard Susskind • 2013

More legal help for less money: the demand that is finally breaking law firms apart.

3.90

1,000+

⚖️ Legal Industry 💻 Legal Technology 🔄 Disruptive Innovation 🤖 Automation Of Work 🚪 Access To Justice

Tomorrow's Lawyers

More legal help for less money: the demand that is finally breaking law firms apart.

저자: Richard Susskind 2013 208 페이지

3.90

1,000+ 개의 평점

⚖️ Legal Industry 💻 Legal Technology 🔄 Disruptive Innovation 🤖 Automation Of Work 🚪 Access To Justice

All-in On AI

저자: Thomas H. Davenport • 2023

Less than one percent of large companies are built around AI. The playbook for the rest.

3.23

273

🤖 Ai Adoption 💻 Digital Transformation 🎯 Corporate Strategy 🗄️ Data Infrastructure ⚖️ Ethical Ai

All-in On AI

Less than one percent of large companies are built around AI. The playbook for the rest.

저자: Thomas H. Davenport 2023 215 페이지

3.23

273 개의 평점

🤖 Ai Adoption 💻 Digital Transformation 🎯 Corporate Strategy 🗄️ Data Infrastructure ⚖️ Ethical Ai

How AI Thinks

저자: Nigel Toon • 2024

It's a learning engine, not a thinking mind. The revolution is here, and it's not sentient.

3.62

322

💻 Computing History 🧠 Machine Learning ⚖️ Ai Ethics 🏛️ Ai Governance 🤖 Responsible Ai

How AI Thinks

It's a learning engine, not a thinking mind. The revolution is here, and it's not sentient.

저자: Nigel Toon 2024 305 페이지

3.62

322 개의 평점

💻 Computing History 🧠 Machine Learning ⚖️ Ai Ethics 🏛️ Ai Governance 🤖 Responsible Ai

Hands-On Machine Learning with Scikit-Learn and TensorFlow

저자: Aurélien Géron • 2017

How neural networks remember: training RNNs, LSTMs, and GRUs for tasks where order matters.

4.55

2,000+

🧠 Deep Learning 🔗 Neural Networks 🛠️ Practical Ml 📈 Time Series Forecasting 💬 Natural Language Processing

Hands-On Machine Learning with Scikit-Learn and TensorFlow

How neural networks remember: training RNNs, LSTMs, and GRUs for tasks where order matters.

저자: Aurélien Géron 2017 566 페이지

4.55

2,000+ 개의 평점

🧠 Deep Learning 🔗 Neural Networks 🛠️ Practical Ml 📈 Time Series Forecasting 💬 Natural Language Processing

HBR's 10 Must Reads on AI, Analytics, and the New Machine Age

저자: Harvard Business Review • 2019

Platforms seize power, blockchain rewrites trust, AI learns to collaborate. HBR's briefing.

3.86

500+

🧭 Technology Strategy 🔄 Digital Transformation 💡 Emerging Technologies 🤖 Ai In Business 🏗️ Platform Economics

HBR's 10 Must Reads on AI, Analytics, and the New Machine Age

Platforms seize power, blockchain rewrites trust, AI learns to collaborate. HBR's briefing.

저자: Harvard Business Review 2019 238 페이지

3.86

500+ 개의 평점

🧭 Technology Strategy 🔄 Digital Transformation 💡 Emerging Technologies 🤖 Ai In Business 🏗️ Platform Economics

The Myth of Artificial Intelligence

저자: Erik J. Larson • 2021

Computers can't guess. That single limitation makes human-level AI a myth, not an inevitability.

3.96

500+

🛑 Ai Skepticism ⚙️ Philosophy Of Technology 💻 Computational Limits 💡 Pragmatism 📊 Big Data Critique

The Myth of Artificial Intelligence

Computers can't guess. That single limitation makes human-level AI a myth, not an inevitability.

저자: Erik J. Larson 2021 320 페이지

3.96

500+ 개의 평점

🛑 Ai Skepticism ⚙️ Philosophy Of Technology 💻 Computational Limits 💡 Pragmatism 📊 Big Data Critique

2084

저자: John C. Lennox • 2020

Silicon won't make us gods. A mathematician traces the transhumanist dream back to Eden.

3.93

1,000+

🛡️ Christian Apologetics 🤖 Ai Ethics 📱 Faith And Technology 🧬 Human Enhancement 👁️ Surveillance Technology

2084

Silicon won't make us gods. A mathematician traces the transhumanist dream back to Eden.

저자: John C. Lennox 2020 229 페이지

3.93

1,000+ 개의 평점

🛡️ Christian Apologetics 🤖 Ai Ethics 📱 Faith And Technology 🧬 Human Enhancement 👁️ Surveillance Technology

Data Strategy

저자: Bernard Marr • 2017

Profit from the data firehose: pick the right data, build a company that acts on it.

3.77

418

📊 Data Strategy 📈 Business Intelligence 💾 Big Data 🧮 Analytics 🔒 Data Governance

Data Strategy

Profit from the data firehose: pick the right data, build a company that acts on it.

저자: Bernard Marr 2017 200 페이지

3.77

418 개의 평점

📊 Data Strategy 📈 Business Intelligence 💾 Big Data 🧮 Analytics 🔒 Data Governance

The Technology Trap

저자: Carl Benedikt Frey • 2019

The telescope helps you see. The power loom takes your job. Which one is AI?

4.10

500+

🏛️ Economic History 👷 Labor Economics 🏭 Industrial Revolution 🤖 Technological Unemployment ⚖️ Inequality And Technology

The Technology Trap

The telescope helps you see. The power loom takes your job. Which one is AI?

저자: Carl Benedikt Frey 2019 480 페이지

4.10

500+ 개의 평점

🏛️ Economic History 👷 Labor Economics 🏭 Industrial Revolution 🤖 Technological Unemployment ⚖️ Inequality And Technology

The Hundred-Page Machine Learning Book

저자: Andriy Burkov • 2019

The one-sitting machine learning education: a hundred pages, no code, every algorithm that matters.

4.25

1,000+

🤖 Machine Learning 📊 Data Science 📚 Classical Machine Learning 📈 Statistical Learning 🏫 Supervised Learning

The Hundred-Page Machine Learning Book

The one-sitting machine learning education: a hundred pages, no code, every algorithm that matters.

저자: Andriy Burkov 2019 159 페이지

4.25

1,000+ 개의 평점

🤖 Machine Learning 📊 Data Science 📚 Classical Machine Learning 📈 Statistical Learning 🏫 Supervised Learning

Competing on Analytics

저자: Thomas H. Davenport • 2007

Why some companies (like Amazon and Capital One) win by making bets on data, not hunches.

3.69

1,000+

📊 Analytics Strategy 🔮 Predictive Modeling 📋 Fact-Based Decisions 🧠 Analytics Culture 🗄️ Data Management

Competing on Analytics

Why some companies (like Amazon and Capital One) win by making bets on data, not hunches.

저자: Thomas H. Davenport 2007 218 페이지

3.69

1,000+ 개의 평점

📊 Analytics Strategy 🔮 Predictive Modeling 📋 Fact-Based Decisions 🧠 Analytics Culture 🗄️ Data Management

Quantum Supremacy

저자: Michio Kaku • 2023

Physics' strangest laws are about to power computers that crack encryption and reinvent medicine.

3.78

3,000+

🖥️ Quantum Computing 🔮 Future Technology ⚡ Technological Disruption 🔐 Encryption And Security 💊 Medical Innovation

Quantum Supremacy

Physics' strangest laws are about to power computers that crack encryption and reinvent medicine.

저자: Michio Kaku 2023 352 페이지

3.78

3,000+ 개의 평점

🖥️ Quantum Computing 🔮 Future Technology ⚡ Technological Disruption 🔐 Encryption And Security 💊 Medical Innovation

The AI Con

저자: Emily M. Bender • 2025

ChatGPT isn't thinking, the doom-sayers aren't helping, and the real AI harms are already here.

3.69

1,000+

🤖 Ai Criticism 🧮 Algorithmic Bias 🔍 Technology Criticism 👁️ Surveillance Capitalism 🔧 Labor And Automation

The AI Con

ChatGPT isn't thinking, the doom-sayers aren't helping, and the real AI harms are already here.

저자: Emily M. Bender 2025 288 페이지

3.69

1,000+ 개의 평점

🤖 Ai Criticism 🧮 Algorithmic Bias 🔍 Technology Criticism 👁️ Surveillance Capitalism 🔧 Labor And Automation

If Anyone Builds It, Everyone Dies

저자: Eliezer Yudkowsky • 2025

Superhuman AI kills without malice. Its goals turn our atoms into raw material, not our future.

3.92

7,000+

🛡️ Ai Safety ⚠️ Existential Risk 🏁 Technology Arms Races 🌐 Global Governance 🏚️ Institutional Failure

If Anyone Builds It, Everyone Dies

Superhuman AI kills without malice. Its goals turn our atoms into raw material, not our future.

저자: Eliezer Yudkowsky 2025 272 페이지

3.92

7,000+ 개의 평점

🛡️ Ai Safety ⚠️ Existential Risk 🏁 Technology Arms Races 🌐 Global Governance 🏚️ Institutional Failure

네 번째 변환

저자: 로버트 스코블 • 2016

Factory workers using AR headsets made 90% fewer errors. The next computing era has already started.

3.75

492

🥽 Mixed Reality 🌐 Spatial Computing 🔮 Tech Forecasting 🖐️ Human-Computer Interaction 🎮 Immersive Technology

네 번째 변환

Factory workers using AR headsets made 90% fewer errors. The next computing era has already started.

저자: 로버트 스코블 2016 163 페이지

3.75

492 개의 평점

🥽 Mixed Reality 🌐 Spatial Computing 🔮 Tech Forecasting 🖐️ Human-Computer Interaction 🎮 Immersive Technology

Data Science

저자: John D. Kelleher • 2018

Turning raw data into decisions requires a defined process, not just algorithms and statistics.

3.90

500+

🔎 Data Mining 🧭 Data Science Methodology 📈 Predictive Modeling 🧩 Unsupervised Learning ⚖️ Data Ethics

Data Science

Turning raw data into decisions requires a defined process, not just algorithms and statistics.

저자: John D. Kelleher 2018 280 페이지

3.90

500+ 개의 평점

🔎 Data Mining 🧭 Data Science Methodology 📈 Predictive Modeling 🧩 Unsupervised Learning ⚖️ Data Ethics

God, Human, Animal, Machine

저자: Meghan O'Gieblyn • 2021

We swapped God for AI. A former fundamentalist finds the old religion hiding in our machines.

4.23

3,000+

🧠 Consciousness Studies 🔧 Technology Criticism ⛪ Faith And Technology 🌐 Post-Secular Thought 🧬 Transhumanism

God, Human, Animal, Machine

We swapped God for AI. A former fundamentalist finds the old religion hiding in our machines.

저자: Meghan O'Gieblyn 2021 273 페이지

4.23

3,000+ 개의 평점

🧠 Consciousness Studies 🔧 Technology Criticism ⛪ Faith And Technology 🌐 Post-Secular Thought 🧬 Transhumanism

Artificial Intelligence and the Future of Power

저자: Rajiv Malhotra • 2021

Two nations race to own AI. The prize: your job, your mind, and the global pecking order.

4.28

217

🌍 Ai Geopolitics 🛡️ Digital Sovereignty 🏭 Job Displacement 📱 Digital Addiction 💰 Surveillance Capitalism

Artificial Intelligence and the Future of Power

Two nations race to own AI. The prize: your job, your mind, and the global pecking order.

저자: Rajiv Malhotra 2021 520 페이지

4.28

217 개의 평점

🌍 Ai Geopolitics 🛡️ Digital Sovereignty 🏭 Job Displacement 📱 Digital Addiction 💰 Surveillance Capitalism

Killer ChatGPT Prompts

저자: Guy Hart-Davis • 2023

Everyone has ChatGPT. The difference between frustration and productivity is how you ask.

2.56

🔧 Prompt Engineering 🤖 Generative Ai 💼 Ai For Business ✍️ Ai Writing Tools 🧠 Knowledge Workers

Killer ChatGPT Prompts

Everyone has ChatGPT. The difference between frustration and productivity is how you ask.

저자: Guy Hart-Davis 2023 240 페이지

2.56

39 개의 평점

🔧 Prompt Engineering 🤖 Generative Ai 💼 Ai For Business ✍️ Ai Writing Tools 🧠 Knowledge Workers

The AI Revolution in Medicine

저자: Peter Lee • 2023

GPT-4 can diagnose, comfort patients, and fight burnout. Nobody knows if it truly understands.

3.87

500+

🏥 Medical Ai 📱 Digital Health ⚖️ Ai Ethics 🧠 Augmented Intelligence 📜 Healthcare Regulation

The AI Revolution in Medicine

GPT-4 can diagnose, comfort patients, and fight burnout. Nobody knows if it truly understands.

저자: Peter Lee 2023 304 페이지

3.87

500+ 개의 평점

🏥 Medical Ai 📱 Digital Health ⚖️ Ai Ethics 🧠 Augmented Intelligence 📜 Healthcare Regulation

이전 1 2 3 4 5 다음

Compare Features	Free	Pro
📖 Read Summaries Read unlimited summaries. Free users get 3 per month
🎧 Listen to Summaries Listen to unlimited summaries in 40 languages	—
❤️ Unlimited Bookmarks Free users are limited to 4	—
📜 Unlimited History Free users are limited to 4	—
📥 Unlimited Downloads Free users are limited to 1	—

People love SoBrief

Join our global community of 600,000+ readers

★★★★★

This site is a total game-changer. I've been flying through book summaries like never before. Highly, highly recommend.

— Dave G

Worth my money and time, and really well made. I've never seen this quality of summaries on other websites. Very helpful!

— Em

Highly recommended!! Fantastic service. Perfect for those that want a little more than a teaser but not all the intricate details of a full audio book.

— Greg M