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 Six

저자: Mark Alpert • 2015

A paralyzed teen uploads his mind into a robot to fight his father's rogue AI.

3.81

1,000+

🧠 Mind Uploading 🤖 Rogue AI ♿ Disabled Protagonist 🪖 Teen Soldiers ❤️ Found Family

The Six

A paralyzed teen uploads his mind into a robot to fight his father's rogue AI.

저자: Mark Alpert 2015 368 페이지

3.81

1,000+ 개의 평점

🧠 Mind Uploading 🤖 Rogue AI ♿ Disabled Protagonist 🪖 Teen Soldiers ❤️ Found Family

12 Bytes

저자: Jeanette Winterson • 2021

AI has a history: female, literary, and older than electricity. A novelist connects the dots.

3.90

1,000+

🤖 Ai Ethics 💻 History Of Computing 👩‍💻 Tech Feminism 👁️ Surveillance Capitalism ⚖️ Algorithmic Bias

12 Bytes

AI has a history: female, literary, and older than electricity. A novelist connects the dots.

저자: Jeanette Winterson 2021 324 페이지

3.90

1,000+ 개의 평점

🤖 Ai Ethics 💻 History Of Computing 👩‍💻 Tech Feminism 👁️ Surveillance Capitalism ⚖️ Algorithmic Bias

Superconvergence

저자: Jamie Metzl • 2024

AI reads code. Genetics writes it. Biotech runs it. The three revolutions are now one.

3.75

313

🧬 Synthetic Biology 🩺 Precision Medicine ⚖️ Technology Governance 🌱 Bioeconomy ✂️ Genetic Engineering

Superconvergence

AI reads code. Genetics writes it. Biotech runs it. The three revolutions are now one.

저자: Jamie Metzl 2024 432 페이지

3.75

313 개의 평점

🧬 Synthetic Biology 🩺 Precision Medicine ⚖️ Technology Governance 🌱 Bioeconomy ✂️ Genetic Engineering

Virtual Society

저자: Herman Narula • 2022

Virtual worlds built civilization. The metaverse will fix what it broke: making us feel we matter.

3.40

288

🎮 Virtual Worlds 💰 Digital Economy 👷 Future Of Work 📊 Virtual Economies 🧠 Intrinsic Motivation

Virtual Society

Virtual worlds built civilization. The metaverse will fix what it broke: making us feel we matter.

저자: Herman Narula 2022 288 페이지

3.40

288 개의 평점

🎮 Virtual Worlds 💰 Digital Economy 👷 Future Of Work 📊 Virtual Economies 🧠 Intrinsic Motivation

On Intelligence

저자: Jeff Hawkins • 2004

The brain runs one algorithm for sight, sound, and thought: memory and prediction.

4.11

6,000+

🧠 Predictive Processing 🤖 Brain Inspired Ai 💭 Philosophy Of Mind 💾 Memory And Learning 🧬 Neuroscience Of Intelligence

On Intelligence

The brain runs one algorithm for sight, sound, and thought: memory and prediction.

저자: Jeff Hawkins 2004 261 페이지

4.11

6,000+ 개의 평점

🧠 Predictive Processing 🤖 Brain Inspired Ai 💭 Philosophy Of Mind 💾 Memory And Learning 🧬 Neuroscience Of Intelligence

Fundamentals of Machine Learning for Predictive Data Analytics

저자: John D. Kelleher • 2015

Pick the right machine learning approach for any business problem, guided by real case studies.

4.35

105

📊 Predictive Analytics 💼 Business Analytics 🤖 Supervised Learning 📈 Model Evaluation 🧹 Data Preparation

Fundamentals of Machine Learning for Predictive Data Analytics

Pick the right machine learning approach for any business problem, guided by real case studies.

저자: John D. Kelleher 2015 867 페이지

4.35

105 개의 평점

📊 Predictive Analytics 💼 Business Analytics 🤖 Supervised Learning 📈 Model Evaluation 🧹 Data Preparation

Machine Learning

저자: Ethem Alpaydin • 2016

From spam filters to self-driving cars: the algorithms that learn from data, and what comes next.

3.62

1,000+

🧠 Machine Learning 🕸️ Neural Networks 🔬 Deep Learning 🎮 Reinforcement Learning 📈 Statistical Learning

Machine Learning

From spam filters to self-driving cars: the algorithms that learn from data, and what comes next.

저자: Ethem Alpaydin 2016 230 페이지

3.62

1,000+ 개의 평점

🧠 Machine Learning 🕸️ Neural Networks 🔬 Deep Learning 🎮 Reinforcement Learning 📈 Statistical Learning

Deep Learning

저자: John D. Kelleher • 2019

Deep learning isn't clever math. It's simple neurons, wired at scale, learning from their mistakes.

3.89

473

🔬 Deep Learning 🧠 Neural Networks 🤖 Machine Learning 📘 Ai Fundamentals 🔗 Connectionism

Deep Learning

Deep learning isn't clever math. It's simple neurons, wired at scale, learning from their mistakes.

저자: John D. Kelleher 2019 296 페이지

3.89

473 개의 평점

🔬 Deep Learning 🧠 Neural Networks 🤖 Machine Learning 📘 Ai Fundamentals 🔗 Connectionism

Applied Artificial Intelligence

저자: Mariya Yao • 2018

AI that doesn't pay for itself is overhead. The business leader's framework for picking what wins.

3.57

410

🧠 Ai Strategy 🏢 Enterprise Ai ⚖️ Ai Ethics 🤖 Machine Learning For Business 📊 Data Strategy

Applied Artificial Intelligence

AI that doesn't pay for itself is overhead. The business leader's framework for picking what wins.

저자: Mariya Yao 2018 201 페이지

3.57

410 개의 평점

🧠 Ai Strategy 🏢 Enterprise Ai ⚖️ Ai Ethics 🤖 Machine Learning For Business 📊 Data Strategy

Artificial Intelligence

저자: Lasse Rouhiainen • 2018

An AI 101: the tech, the jobs at risk, and the one skill machines can't touch.

3.92

314

🤖 Artificial Intelligence 💻 Digital Transformation 🧠 Machine Learning ⚖️ Ai Ethics 💼 Future Of Work

Artificial Intelligence

An AI 101: the tech, the jobs at risk, and the one skill machines can't touch.

저자: Lasse Rouhiainen 2018 300 페이지

3.92

314 개의 평점

🤖 Artificial Intelligence 💻 Digital Transformation 🧠 Machine Learning ⚖️ Ai Ethics 💼 Future Of Work

A Human Algorithm

저자: Flynn Coleman • 2019

Machines are learning to think. The real question is whether we will remember how to feel.

3.58

299

🤖 Ai Ethics 💼 Future Of Work ⚖️ Algorithmic Bias 🧠 Machine Consciousness 🌍 Diversity In Tech

A Human Algorithm

Machines are learning to think. The real question is whether we will remember how to feel.

저자: Flynn Coleman 2019 336 페이지

3.58

299 개의 평점

🤖 Ai Ethics 💼 Future Of Work ⚖️ Algorithmic Bias 🧠 Machine Consciousness 🌍 Diversity In Tech

Creativity Code

저자: Marcus du Sautoy • 2019

AI paints, composes, writes. But can a machine truly be creative? A mathematician investigates.

3.94

1,000+

🤖 Machine Creativity 🎨 Ai Generated Art 🖌️ Generative Art 🤔 Philosophy Of Ai 🧠 Cognitive Science

Creativity Code

AI paints, composes, writes. But can a machine truly be creative? A mathematician investigates.

저자: Marcus du Sautoy 2019 336 페이지

3.94

1,000+ 개의 평점

🤖 Machine Creativity 🎨 Ai Generated Art 🖌️ Generative Art 🤔 Philosophy Of Ai 🧠 Cognitive Science

A Brief History of Intelligence

저자: Max Solomon Bennett • 2023

Five evolutionary breakthroughs built your brain. Each one reveals what AI is still missing.

4.46

4,000+

🧠 Evolutionary Biology 🧩 Cognitive Science 🦎 Brain Evolution 🤔 Theory Of Mind 🗣️ Language Evolution

A Brief History of Intelligence

Five evolutionary breakthroughs built your brain. Each one reveals what AI is still missing.

저자: Max Solomon Bennett 2023 432 페이지

4.46

4,000+ 개의 평점

🧠 Evolutionary Biology 🧩 Cognitive Science 🦎 Brain Evolution 🤔 Theory Of Mind 🗣️ Language Evolution

The New Breed

저자: Kate Darling • 2021

Robot panic is sci-fi fueled. The real future looks more like our ancient partnership with animals.

3.96

415

🤖 Human Robot Interaction 🧠 Anthropomorphism 🐾 Animal Rights ⚖️ Technology Ethics 🏭 Future Of Work

The New Breed

Robot panic is sci-fi fueled. The real future looks more like our ancient partnership with animals.

저자: Kate Darling 2021 336 페이지

3.96

415 개의 평점

🤖 Human Robot Interaction 🧠 Anthropomorphism 🐾 Animal Rights ⚖️ Technology Ethics 🏭 Future Of Work

How to Stay Smart in a Smart World

저자: Gerd Gigerenzer • 2022

AI masters chess but fumbles real life. Why simple human judgment still outperforms algorithms.

3.82

500+

🧠 Cognitive Psychology 🧩 Bounded Rationality 🔍 Heuristics And Biases 🤖 Ai Critique ⚖️ Algorithmic Bias

How to Stay Smart in a Smart World

AI masters chess but fumbles real life. Why simple human judgment still outperforms algorithms.

저자: Gerd Gigerenzer 2022 307 페이지

3.82

500+ 개의 평점

🧠 Cognitive Psychology 🧩 Bounded Rationality 🔍 Heuristics And Biases 🤖 Ai Critique ⚖️ Algorithmic Bias

Machine Learning for Dummies

저자: John Paul Mueller • 2016

Machine learning demystified: pick the right algorithm, train it well, and know when it works.

3.53

139

🧠 Machine Learning Basics 📊 Data Science Basics 🏷️ Supervised Learning 📈 Statistical Learning 🔮 Predictive Modeling

Machine Learning for Dummies

Machine learning demystified: pick the right algorithm, train it well, and know when it works.

저자: John Paul Mueller 2016 410 페이지

3.53

139 개의 평점

🧠 Machine Learning Basics 📊 Data Science Basics 🏷️ Supervised Learning 📈 Statistical Learning 🔮 Predictive Modeling

Humility Is the New Smart

저자: Edward D. Hess • 2017

Your expertise is not your edge anymore. Your willingness to question it is.

3.60

500+

🏭 Future Of Work 🏢 Organizational Culture 🧠 Cognitive Biases ❤️ Emotional Intelligence 🙇 Intellectual Humility

Humility Is the New Smart

Your expertise is not your edge anymore. Your willingness to question it is.

저자: Edward D. Hess 2017 224 페이지

3.60

500+ 개의 평점

🏭 Future Of Work 🏢 Organizational Culture 🧠 Cognitive Biases ❤️ Emotional Intelligence 🙇 Intellectual Humility

Machine Learning with R

저자: Brett Lantz • 2015

Build the algorithms that catch spam, flag fraud, and recommend products: a hands-on guide in R.

4.20

312

💻 R Language 🤖 Machine Learning 📈 Predictive Modeling 🏷️ Supervised Learning 📊 Classification Algorithms

Machine Learning with R

Build the algorithms that catch spam, flag fraud, and recommend products: a hands-on guide in R.

저자: Brett Lantz 2015 375 페이지

4.20

312 개의 평점

💻 R Language 🤖 Machine Learning 📈 Predictive Modeling 🏷️ Supervised Learning 📊 Classification Algorithms

Neural Networks, Fuzzy Logic And Genetic Algorithms

저자: S. Rajasekaran • 2004

Soft computing's three pillars each have blind spots. This is how they fill each other's gaps.

4.21

151

🖥️ Soft Computing 🧠 Neural Networks 🌫️ Fuzzy Logic 🧬 Genetic Algorithms 🤖 Machine Learning

Neural Networks, Fuzzy Logic And Genetic Algorithms

Soft computing's three pillars each have blind spots. This is how they fill each other's gaps.

저자: S. Rajasekaran 2004 627 페이지

4.21

151 개의 평점

🖥️ Soft Computing 🧠 Neural Networks 🌫️ Fuzzy Logic 🧬 Genetic Algorithms 🤖 Machine Learning

The AI Edge

저자: Jeb Blount • 2024

Your competitor uses AI. A battle plan for reclaiming time and winning more deals.

3.56

240

🤖 Sales Technology ⏱️ Sales Productivity 🤝 Human-Ai Collaboration ⌨️ Prompt Engineering 🧠 Sales Psychology

The AI Edge

Your competitor uses AI. A battle plan for reclaiming time and winning more deals.

저자: Jeb Blount 2024 292 페이지

3.56

240 개의 평점

🤖 Sales Technology ⏱️ Sales Productivity 🤝 Human-Ai Collaboration ⌨️ Prompt Engineering 🧠 Sales Psychology

Virtually Human

저자: Martine Rothblatt • 2014

Software copies of human minds will outlive bodies and demand citizenship. They're almost here.

3.51

182

🧠 Mind Uploading 💾 Digital Immortality 🔮 Transhumanism 🧬 Consciousness Studies ⚖️ AI Ethics

Virtually Human

Software copies of human minds will outlive bodies and demand citizenship. They're almost here.

저자: Martine Rothblatt 2014 368 페이지

3.51

182 개의 평점

🧠 Mind Uploading 💾 Digital Immortality 🔮 Transhumanism 🧬 Consciousness Studies ⚖️ AI Ethics

How Data Happened

저자: Chris Wiggins • 2023

Data was never neutral. How statistics went from serving kings to fueling the attention economy.

3.54

467

🧮 History Of Statistics 🏛️ Data And Society ⚖️ Data Ethics 👁️ Surveillance Capitalism 📊 Algorithmic Bias

How Data Happened

Data was never neutral. How statistics went from serving kings to fueling the attention economy.

저자: Chris Wiggins 2023 384 페이지

3.54

467 개의 평점

🧮 History Of Statistics 🏛️ Data And Society ⚖️ Data Ethics 👁️ Surveillance Capitalism 📊 Algorithmic Bias

The Book of Why

저자: Judea Pearl • 2018

Data can't tell you why. A mathematical science of cause and effect finally can.

3.93

6,000+

🏹 Causal Inference 🕸️ Graphical Models 🔄 Counterfactuals 📉 Limits Of Correlation 🔬 Philosophy Of Science

The Book of Why

Data can't tell you why. A mathematical science of cause and effect finally can.

저자: Judea Pearl 2018 432 페이지

3.93

6,000+ 개의 평점

🏹 Causal Inference 🕸️ Graphical Models 🔄 Counterfactuals 📉 Limits Of Correlation 🔬 Philosophy Of Science

How to Speak Machine

저자: John Maeda • 2019

Loops, scale, and unfinished products: what computers know that designers must learn.

3.69

500+

🖥️ Computational Thinking 📱 Digital Design 🔄 Iterative Development ⚖️ Algorithmic Bias 📊 Data-Driven Design

How to Speak Machine

Loops, scale, and unfinished products: what computers know that designers must learn.

저자: John Maeda 2019 240 페이지

3.69

500+ 개의 평점

🖥️ Computational Thinking 📱 Digital Design 🔄 Iterative Development ⚖️ Algorithmic Bias 📊 Data-Driven Design

The Robots Are Coming!

저자: Andrés Oppenheimer • 2018

Factory workers lost their jobs to robots last decade. This decade, it's lawyers and accountants.

4.19

2,000+

🤖 Future Of Work 🏭 Technological Unemployment 📚 Lifelong Learning 💻 Education Technology 🏥 Healthcare Innovation

The Robots Are Coming!

Factory workers lost their jobs to robots last decade. This decade, it's lawyers and accountants.

저자: Andrés Oppenheimer 2018 416 페이지

4.19

2,000+ 개의 평점

🤖 Future Of Work 🏭 Technological Unemployment 📚 Lifelong Learning 💻 Education Technology 🏥 Healthcare Innovation

Introduction To Machine Learning

저자: Ethem Alpaydin • 2004

The mathematical core of machine learning, taught without cutting corners: from Bayes to boosting.

3.78

251

🤖 Machine Learning 📊 Statistical Learning 🏷️ Supervised Learning 🎮 Reinforcement Learning 🎲 Bayesian Inference

Introduction To Machine Learning

The mathematical core of machine learning, taught without cutting corners: from Bayes to boosting.

저자: Ethem Alpaydin 2004 415 페이지

3.78

251 개의 평점

🤖 Machine Learning 📊 Statistical Learning 🏷️ Supervised Learning 🎮 Reinforcement Learning 🎲 Bayesian Inference

On Task

저자: David Badre • 2020

Your brain knows what to do but an ancient bottleneck stands between knowing and acting.

3.99

161

🧠 Executive Function 🔬 Cognitive Science 🧪 Cognitive Neuroscience 👁️ Attention Management 💾 Working Memory

On Task

Your brain knows what to do but an ancient bottleneck stands between knowing and acting.

저자: David Badre 2020 344 페이지

3.99

161 개의 평점

🧠 Executive Function 🔬 Cognitive Science 🧪 Cognitive Neuroscience 👁️ Attention Management 💾 Working Memory

What to Think About Machines That Think

저자: John Brockman • 2015

The real threat isn't machines that outthink us. It's handing control to machines that can't think.

3.37

500+

🤖 Artificial Intelligence ⚖️ Ai Ethics 🎯 Ai Alignment 🧠 Philosophy Of Mind 📚 Essay Collections

What to Think About Machines That Think

The real threat isn't machines that outthink us. It's handing control to machines that can't think.

저자: John Brockman 2015 576 페이지

3.37

500+ 개의 평점

🤖 Artificial Intelligence ⚖️ Ai Ethics 🎯 Ai Alignment 🧠 Philosophy Of Mind 📚 Essay Collections

Four Battlegrounds

저자: Paul Scharre • 2023

AI is a contest for physical and intellectual resources; the winner writes the rules of the century.

3.83

500+

🏛️ Ai Policy ⚔️ Military Ai 📡 Digital Repression 🦠 Disinformation ⚠️ Ai Safety

Four Battlegrounds

AI is a contest for physical and intellectual resources; the winner writes the rules of the century.

저자: Paul Scharre 2023 496 페이지

3.83

500+ 개의 평점

🏛️ Ai Policy ⚔️ Military Ai 📡 Digital Repression 🦠 Disinformation ⚠️ Ai Safety

Minds, Brains and Science

저자: John Rogers Searle • 1984

Consciousness is biological, not computational. That is why no program will ever think.

3.76

500+

🧠 Philosophy Of Mind 🧩 Mind-Body Problem 🔬 Cognitive Science 🤖 Ai Skepticism 🎲 Free Will Debate

Minds, Brains and Science

Consciousness is biological, not computational. That is why no program will ever think.

저자: John Rogers Searle 1984 107 페이지

3.76

500+ 개의 평점

🧠 Philosophy Of Mind 🧩 Mind-Body Problem 🔬 Cognitive Science 🤖 Ai Skepticism 🎲 Free Will Debate

ColdFusion Presents

저자: Dagogo Altraide • 2019

From steam to AI: the chain of breakthroughs that built the modern world, every link essential.

4.17

500+

🏭 History Of Technology 🔬 History Of Science 💡 History Of Innovation 💻 Digital Revolution 📈 Technological Change

ColdFusion Presents

From steam to AI: the chain of breakthroughs that built the modern world, every link essential.

저자: Dagogo Altraide 2019 298 페이지

4.17

500+ 개의 평점

🏭 History Of Technology 🔬 History Of Science 💡 History Of Innovation 💻 Digital Revolution 📈 Technological Change

Artificial Intelligence (WIRED guides)

저자: Matthew Burgess • 2021

AI masters chess, spots cancer, drives cars. But who trains it, and on whose data?

3.71

147

🖥️ Machine Learning 🧠 Deep Learning ⚖️ Ai Ethics 🛡️ Ai Safety 🔒 Data Privacy

Artificial Intelligence (WIRED guides)

AI masters chess, spots cancer, drives cars. But who trains it, and on whose data?

저자: Matthew Burgess 2021

3.71

147 개의 평점

🖥️ Machine Learning 🧠 Deep Learning ⚖️ Ai Ethics 🛡️ Ai Safety 🔒 Data Privacy

The Equality Machine

저자: Orly Lobel • 2022

Algorithms see the bias humans miss. That makes them inequality's most potent and misunderstood fix.

3.89

154

🔍 Algorithmic Fairness 💼 Workplace Bias 📢 Digital Activism 🏥 Healthcare Technology ⚖️ Responsible Ai

The Equality Machine

Algorithms see the bias humans miss. That makes them inequality's most potent and misunderstood fix.

저자: Orly Lobel 2022 412 페이지

3.89

154 개의 평점

🔍 Algorithmic Fairness 💼 Workplace Bias 📢 Digital Activism 🏥 Healthcare Technology ⚖️ Responsible Ai

Writing AI Prompts For Dummies

저자: Stephanie Diamond • 2024

AI gives back exactly what you give it. Learn the asking framework that changes everything.

2.83

📖 Ai Literacy ⌨️ Prompt Engineering 🧩 Generative Ai Guides 💼 Ai For Business 🤝 Human-Ai Collaboration

Writing AI Prompts For Dummies

AI gives back exactly what you give it. Learn the asking framework that changes everything.

저자: Stephanie Diamond 2024 270 페이지

2.83

46 개의 평점

📖 Ai Literacy ⌨️ Prompt Engineering 🧩 Generative Ai Guides 💼 Ai For Business 🤝 Human-Ai Collaboration

Paradigms of Artificial Intelligence Programming

저자: Peter Norvig • 1991

Build the AI that taught a generation: pattern matchers, logic grammars, solvers, all in Lisp.

4.33

500+

🖥️ Lisp Programming 🤖 Symbolic Ai 📋 Case Studies 🔍 Pattern Matching 🧭 Search Algorithms

Paradigms of Artificial Intelligence Programming

Build the AI that taught a generation: pattern matchers, logic grammars, solvers, all in Lisp.

저자: Peter Norvig 1991 976 페이지

4.33

500+ 개의 평점

🖥️ Lisp Programming 🤖 Symbolic Ai 📋 Case Studies 🔍 Pattern Matching 🧭 Search Algorithms

These Strange New Minds

저자: Christopher Summerfield • 2025

Teach a machine to predict the next word. Eventually it reasons. Now it's learning to act.

4.10

339

🤖 Large Language Models 🧠 Deep Learning 🔮 Philosophy Of Mind 💬 Philosophy Of Language 🛡️ Ai Safety

These Strange New Minds

Teach a machine to predict the next word. Eventually it reasons. Now it's learning to act.

저자: Christopher Summerfield 2025 367 페이지

4.10

339 개의 평점

🤖 Large Language Models 🧠 Deep Learning 🔮 Philosophy Of Mind 💬 Philosophy Of Language 🛡️ Ai Safety

AI for Marketing and Product Innovation

저자: A.K. Pradeep • 2018

Algorithmic customer segments your surveys will never find, priced to exactly what each will pay.

3.33

📱 Digital Marketing 💡 Product Innovation 📊 Predictive Analytics 🧠 Ai Strategy 📉 Marketing Analytics

AI for Marketing and Product Innovation

Algorithmic customer segments your surveys will never find, priced to exactly what each will pay.

저자: A.K. Pradeep 2018 272 페이지

3.33

57 개의 평점

📱 Digital Marketing 💡 Product Innovation 📊 Predictive Analytics 🧠 Ai Strategy 📉 Marketing Analytics

The Future of the Brain

저자: Gary F. Marcus • 2014

The brain's future, mapped by neuroscientists building it: from gene to circuit to consciousness

3.70

210

🧠 Neuroscience Research 🗺️ Brain Mapping ⚡ Neural Circuits 💻 Computational Neuroscience 💭 Consciousness Studies

The Future of the Brain

The brain's future, mapped by neuroscientists building it: from gene to circuit to consciousness

저자: Gary F. Marcus 2014 304 페이지

3.70

210 개의 평점

🧠 Neuroscience Research 🗺️ Brain Mapping ⚡ Neural Circuits 💻 Computational Neuroscience 💭 Consciousness Studies

The Handover

저자: David Runciman • 2023

Three inhuman agents run the world: states, corporations, and now AI. We have to pick one.

3.71

234

🏛️ Political Theory 🏢 Corporate Power 🤖 Ai Governance 👥 Institutional Power 🧠 Group Decision Making

The Handover

Three inhuman agents run the world: states, corporations, and now AI. We have to pick one.

저자: David Runciman 2023 352 페이지

3.71

234 개의 평점

🏛️ Political Theory 🏢 Corporate Power 🤖 Ai Governance 👥 Institutional Power 🧠 Group Decision Making

Beyond Vibe Coding

저자: Addy Osmani • 2025

AI generates 70% of the code, then stalls. Your job is the other 30%.

3.20

🤖 Ai-Assisted Coding 💼 Developer Career Skills 💬 Prompt Engineering 🧱 Code Quality ✅ Software Testing

Beyond Vibe Coding

AI generates 70% of the code, then stalls. Your job is the other 30%.

저자: Addy Osmani 2025 252 페이지

3.20

91 개의 평점

🤖 Ai-Assisted Coding 💼 Developer Career Skills 💬 Prompt Engineering 🧱 Code Quality ✅ Software Testing

Rage Inside the Machine

저자: Robert Elliott Smith • 2019

Algorithms reduce reality to neat categories. Prejudice is not a bug but the predictable exhaust.

3.97

145

🧩 Algorithmic Bias 🤖 AI Ethics 💻 Tech Criticism 🎲 History Of Probability 🕸️ Complex Systems

Rage Inside the Machine

Algorithms reduce reality to neat categories. Prejudice is not a bug but the predictable exhaust.

저자: Robert Elliott Smith 2019 344 페이지

3.97

145 개의 평점

🧩 Algorithmic Bias 🤖 AI Ethics 💻 Tech Criticism 🎲 History Of Probability 🕸️ Complex Systems

The AI Workshop

저자: Milo Foster • 2025

AI without code: a plain-English guide to the tools and ideas that put it to work.

4.08

179

🛠️ No-Code Tools 📖 Ai Literacy 🤝 Human-Ai Collaboration 💼 Ai For Business ⚖️ Ai Ethics

The AI Workshop

AI without code: a plain-English guide to the tools and ideas that put it to work.

저자: Milo Foster 2025 172 페이지

4.08

179 개의 평점

🛠️ No-Code Tools 📖 Ai Literacy 🤝 Human-Ai Collaboration 💼 Ai For Business ⚖️ Ai Ethics

Open to Work

저자: Ryan Roslansky • 2026

The threat isn't robots. It's the competitor who adopted AI. A 90-day playbook.

3.47

308

🏢 Future Of Work 🧭 Career Development 🤖 Ai In Business 🧠 Human Skills ⚙️ Task Automation

Open to Work

The threat isn't robots. It's the competitor who adopted AI. A 90-day playbook.

저자: Ryan Roslansky 2026 224 페이지

3.47

308 개의 평점

🏢 Future Of Work 🧭 Career Development 🤖 Ai In Business 🧠 Human Skills ⚙️ Task Automation

The Perfect Police State

저자: Geoffrey Cain • 2021

China's Xinjiang AI state predicts crimes before they happen, and exports the blueprint globally.

4.23

1,000+

🛡️ Surveillance States 🏛️ Authoritarian Regimes 🇨🇳 Chinese Politics 🤖 Ai And Ethics 👁️ Mass Surveillance

The Perfect Police State

China's Xinjiang AI state predicts crimes before they happen, and exports the blueprint globally.

저자: Geoffrey Cain 2021 304 페이지

4.23

1,000+ 개의 평점

🛡️ Surveillance States 🏛️ Authoritarian Regimes 🇨🇳 Chinese Politics 🤖 Ai And Ethics 👁️ Mass Surveillance

Unscaled

저자: Hemant Taneja • 2018

Size used to win. Now AI lets lean companies rent what big corporations had to build.

3.86

331

🏗️ Platform Economics 🚀 Startup Playbooks 📊 Data-Driven Business 🎯 Micro-Markets 💥 Disruption Theory

Unscaled

Size used to win. Now AI lets lean companies rent what big corporations had to build.

저자: Hemant Taneja 2018 240 페이지

3.86

331 개의 평점

🏗️ Platform Economics 🚀 Startup Playbooks 📊 Data-Driven Business 🎯 Micro-Markets 💥 Disruption Theory

Learning OpenCV

저자: Gary Bradski • 2008

From smoothing to machine learning: the complete OpenCV toolkit for building computer vision apps.

4.01

171

🖥️ Computer Vision 🌄 Image Processing 📚 Open Source Libraries ⚙️ Algorithm Guides 📖 Code Reference

Learning OpenCV

From smoothing to machine learning: the complete OpenCV toolkit for building computer vision apps.

저자: Gary Bradski 2008 575 페이지

4.01

171 개의 평점

🖥️ Computer Vision 🌄 Image Processing 📚 Open Source Libraries ⚙️ Algorithm Guides 📖 Code Reference

Algorithms of the Intelligent Web

저자: Haralambos Marmanis • 2009

Search, recommend, cluster, classify: the algorithms that make web applications intelligent.

3.62

130

🤖 Machine Learning 🌐 Web Applications 🎯 Recommendation Systems 📄 Text Mining ⛏️ Data Mining

Algorithms of the Intelligent Web

Search, recommend, cluster, classify: the algorithms that make web applications intelligent.

저자: Haralambos Marmanis 2009 3445 페이지

3.62

130 개의 평점

🤖 Machine Learning 🌐 Web Applications 🎯 Recommendation Systems 📄 Text Mining ⛏️ Data Mining

INTELLIGENT AUTOMATION

저자: Pascal Bornet • 2020

A new tech suite automates knowledge work. The playbook for turning it into your advantage.

3.83

178

⚙️ Intelligent Automation 🏭 Digital Transformation 🤖 Ai In Business 🔄 Process Automation 💼 Future Of Work

INTELLIGENT AUTOMATION

A new tech suite automates knowledge work. The playbook for turning it into your advantage.

저자: Pascal Bornet 2020 432 페이지

3.83

178 개의 평점

⚙️ Intelligent Automation 🏭 Digital Transformation 🤖 Ai In Business 🔄 Process Automation 💼 Future Of Work

The Tech Coup

저자: Marietje Schaake • 2024

When tech companies became the state, democracy became a user agreement no one reads.

3.78

468

🏛️ Tech Regulation 🏢 Corporate Power 👁️ Surveillance Capitalism 🔒 Digital Authoritarianism 🌐 Internet Governance

The Tech Coup

When tech companies became the state, democracy became a user agreement no one reads.

저자: Marietje Schaake 2024 336 페이지

3.78

468 개의 평점

🏛️ Tech Regulation 🏢 Corporate Power 👁️ Surveillance Capitalism 🔒 Digital Authoritarianism 🌐 Internet Governance

The Deep Learning Revolution

저자: Terrence J. Sejnowski • 2018

The AI that works copies the brain. For decades it was a backwater. Then it won.

3.72

500+

🤖 Deep Learning 📜 History Of Ai 🧠 Computational Neuroscience 🎮 Reinforcement Learning 🌐 Unsupervised Learning

The Deep Learning Revolution

The AI that works copies the brain. For decades it was a backwater. Then it won.

저자: Terrence J. Sejnowski 2018 352 페이지

3.72

500+ 개의 평점

🤖 Deep Learning 📜 History Of Ai 🧠 Computational Neuroscience 🎮 Reinforcement Learning 🌐 Unsupervised Learning

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