최고의 Ai 도서 | 요약 & 오디오

Ai 도서 요약

Build a Large Language Model

저자: Sebastian Raschka • 2025

Skip expensive pretraining. Build a working LLM from GPT-2 and teach it to follow instructions.

4.60

356

🧠 Large Language Models 🗣️ Natural Language Processing 🏗️ Transformer Architectures 🔄 Self-Supervised Learning 🎯 Model Fine-Tuning

Build a Large Language Model

Skip expensive pretraining. Build a working LLM from GPT-2 and teach it to follow instructions.

저자: Sebastian Raschka 2025 400 페이지

4.60

356 개의 평점

🧠 Large Language Models 🗣️ Natural Language Processing 🏗️ Transformer Architectures 🔄 Self-Supervised Learning 🎯 Model Fine-Tuning

Matter and Consciousness

저자: Paul M. Churchland • 1984

Folk psychology is a 2,000-year-old theory that hasn't improved. Neuroscience says it never will.

3.89

1,000+

🧠 Philosophy Of Mind 🔬 Cognitive Science ⚛️ Physicalism 🕸️ Neural Networks 🤖 Artificial Intelligence

Matter and Consciousness

Folk psychology is a 2,000-year-old theory that hasn't improved. Neuroscience says it never will.

저자: Paul M. Churchland 1984 196 페이지

3.89

1,000+ 개의 평점

🧠 Philosophy Of Mind 🔬 Cognitive Science ⚛️ Physicalism 🕸️ Neural Networks 🤖 Artificial Intelligence

Robopocalypse

저자: Daniel H. Wilson • 2011

An AI decides Earth can only survive without humans. Every machine on the planet turns killer.

3.71

41,000+

🤖 Robot Uprising 🎙️ Oral History ⚔️ Military Sci-Fi 🧠 AI Consciousness 🤝 Human Machine Alliance

Robopocalypse

An AI decides Earth can only survive without humans. Every machine on the planet turns killer.

저자: Daniel H. Wilson 2011 368 페이지

3.71

41,000+ 개의 평점

🤖 Robot Uprising 🎙️ Oral History ⚔️ Military Sci-Fi 🧠 AI Consciousness 🤝 Human Machine Alliance

Agentic Artificial Intelligence

저자: Pascal Bornet • 2025

Generative AI answers. Agentic AI acts. The gap between them is where business will be remade.

3.89

409

🏢 Enterprise Ai 🤖 Autonomous Systems ⚙️ Workforce Automation 🤝 Human-Ai Collaboration 🐝 Multi-Agent Systems

Agentic Artificial Intelligence

Generative AI answers. Agentic AI acts. The gap between them is where business will be remade.

저자: Pascal Bornet 2025 572 페이지

3.89

409 개의 평점

🏢 Enterprise Ai 🤖 Autonomous Systems ⚙️ Workforce Automation 🤝 Human-Ai Collaboration 🐝 Multi-Agent Systems

Surviving AI

저자: Calum Chace • 2015

Superintelligence is coming. It could be the greatest thing or the last thing we ever build.

3.88

500+

🎯 Ai Alignment ☢️ Existential Risk 🧠 Superintelligence 💥 Singularity 💼 Future Of Work

Surviving AI

Superintelligence is coming. It could be the greatest thing or the last thing we ever build.

저자: Calum Chace 2015 303 페이지

3.88

500+ 개의 평점

🎯 Ai Alignment ☢️ Existential Risk 🧠 Superintelligence 💥 Singularity 💼 Future Of Work

케라스 강화학습 프로젝트

저자: 주세페 치아부로 • 2018

Nine Keras projects that bring reinforcement learning from theory to working self-learning agents.

4.00

🤖 Reinforcement Learning 🧠 Deep Learning 🔗 Neural Networks 🛠️ Project-Based Learning 🕹️ Game Playing Ai

케라스 강화학습 프로젝트

Nine Keras projects that bring reinforcement learning from theory to working self-learning agents.

저자: 주세페 치아부로 2018 288 페이지

4.00

1 개의 평점

🤖 Reinforcement Learning 🧠 Deep Learning 🔗 Neural Networks 🛠️ Project-Based Learning 🕹️ Game Playing Ai

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

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

Machine Learning For Absolute Beginners

저자: Oliver Theobald • 2017

How machine learning algorithms think, from regression to neural networks, no math required.

4.12

474

🧠 Machine Learning 🧹 Data Preparation ⚖️ Model Evaluation 🏷️ Supervised Learning 🌳 Decision Trees

Machine Learning For Absolute Beginners

How machine learning algorithms think, from regression to neural networks, no math required.

저자: Oliver Theobald 2017 168 페이지

4.12

474 개의 평점

🧠 Machine Learning 🧹 Data Preparation ⚖️ Model Evaluation 🏷️ Supervised Learning 🌳 Decision Trees

The Book of Minds

저자: Philip Ball • 2022

Intelligence is not a yes-or-no question. It is a landscape, and humans occupy a single coordinate.

3.95

210

🧠 Philosophy Of Mind 🔬 Cognitive Science 🐙 Animal Intelligence 👽 Alien Intelligence 🤖 Artificial Intelligence

The Book of Minds

Intelligence is not a yes-or-no question. It is a landscape, and humans occupy a single coordinate.

저자: Philip Ball 2022 513 페이지

3.95

210 개의 평점

🧠 Philosophy Of Mind 🔬 Cognitive Science 🐙 Animal Intelligence 👽 Alien Intelligence 🤖 Artificial Intelligence

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

How to Predict Everything

저자: William Poundstone • 2019

The math that gives humanity 760 more years also explains why aliens never call.

3.19

☢️ Existential Risk 🧠 Bayesian Epistemology 🔭 Anthropic Reasoning 💻 Simulation Hypothesis 👽 Fermi Paradox

How to Predict Everything

The math that gives humanity 760 more years also explains why aliens never call.

저자: William Poundstone 2019 304 페이지

3.19

68 개의 평점

☢️ Existential Risk 🧠 Bayesian Epistemology 🔭 Anthropic Reasoning 💻 Simulation Hypothesis 👽 Fermi Paradox

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

The People Vs Tech

저자: Jamie Bartlett • 2018

Liberal democracy rests on a few fragile pillars; the internet is dismantling every one.

3.90

1,000+

🗳️ Digital Politics 🏛️ Tech Monopolies 🎭 Political Tribalism 🫧 Filter Bubbles 🤖 Ai And Society

The People Vs Tech

Liberal democracy rests on a few fragile pillars; the internet is dismantling every one.

저자: Jamie Bartlett 2018 146 페이지

3.90

1,000+ 개의 평점

🗳️ Digital Politics 🏛️ Tech Monopolies 🎭 Political Tribalism 🫧 Filter Bubbles 🤖 Ai And Society

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

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

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

AI-Powered Commerce

저자: Andy Pandharikar • 2022

Skip the guesswork: AI mines market data to surface product ideas, white space, and demand signals.

🤖 Ai In Commerce 📦 Product Strategy 🔍 Market Intelligence 💬 Customer Insights 🎤 Voice Of Customer

AI-Powered Commerce

Skip the guesswork: AI mines market data to surface product ideas, white space, and demand signals.

저자: Andy Pandharikar 2022 256 페이지

🤖 Ai In Commerce 📦 Product Strategy 🔍 Market Intelligence 💬 Customer Insights 🎤 Voice Of Customer

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

로그 프로토콜

저자: 마사 웰스 • 2018

A rogue android stows away to an abandoned station: the team's security is the real threat.

4.24

100,000+

🤖 Rogue Ai 🚀 Space Thriller 😑 Reluctant Ai 🫂 Human-Ai Friendship 🏢 Corporate Conspiracy

로그 프로토콜

A rogue android stows away to an abandoned station: the team's security is the real threat.

저자: 마사 웰스 2018 159 페이지

4.24

100,000+ 개의 평점

🤖 Rogue Ai 🚀 Space Thriller 😑 Reluctant Ai 🫂 Human-Ai Friendship 🏢 Corporate Conspiracy

Python for Geeks

저자: Muhammad Asif • 2021

Machine learning from notebook to production: Python libraries, data prep, and deployment paths.

4.50

🐍 Python Programming ⚙️ Machine Learning Engineering 📊 Data Science 🚀 Production Deployment ☁️ Serverless Computing

Python for Geeks

Machine learning from notebook to production: Python libraries, data prep, and deployment paths.

저자: Muhammad Asif 2021 546 페이지

4.50

8 개의 평점

🐍 Python Programming ⚙️ Machine Learning Engineering 📊 Data Science 🚀 Production Deployment ☁️ Serverless Computing

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

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

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

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

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

Automatic Noodle

저자: Annalee Newitz • 2025

Four bots open a noodle shop in post-war San Francisco. The city wants them shut down.

3.69

27,000+

🫖 Cozy Dystopia 🤖 Sentient Robots 🫂 Found Family 🍜 Food Fiction ✊ Robot Solidarity

Automatic Noodle

Four bots open a noodle shop in post-war San Francisco. The city wants them shut down.

저자: Annalee Newitz 2025 163 페이지

3.69

27,000+ 개의 평점

🫖 Cozy Dystopia 🤖 Sentient Robots 🫂 Found Family 🍜 Food Fiction ✊ Robot Solidarity

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

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

Open to Work

저자: Ryan Roslansky • 2026

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

3.44

391

🏢 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

3.44

391 개의 평점

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

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

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

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

Machine Learning Simplified

저자: Andrew Wolf • 2022

Supervised learning, gently: pipeline, optimization, and the real reasons your model overfits.

4.87

193

🎯 Supervised Learning 📚 Machine Learning Fundamentals 📊 Statistical Learning ✅ Model Evaluation 🧹 Data Preprocessing

Machine Learning Simplified

Supervised learning, gently: pipeline, optimization, and the real reasons your model overfits.

저자: Andrew Wolf 2022 109 페이지

4.87

193 개의 평점

🎯 Supervised Learning 📚 Machine Learning Fundamentals 📊 Statistical Learning ✅ Model Evaluation 🧹 Data Preprocessing

Hum

저자: Helen Phillips • 2024

A mother sells her face to AI for cash. Her children vanish into a watching city.

3.50

13,000+

🤖 Near-Future Dystopia 👁️ Surveillance Society 🤱 Maternal Anxiety 😰 Child In Peril 📱 Viral Shaming

Hum

A mother sells her face to AI for cash. Her children vanish into a watching city.

저자: Helen Phillips 2024 272 페이지

3.50

13,000+ 개의 평점

🤖 Near-Future Dystopia 👁️ Surveillance Society 🤱 Maternal Anxiety 😰 Child In Peril 📱 Viral Shaming

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

Cascade Failure

저자: L.M. Sagas • 2024

A deserter joins a ragtag crew and uncovers a terraforming weapon that silences entire planets.

3.88

4,000+

🛠️ Found Family 🚀 Misfit Crew 🤖 Ai Captain 🌟 Hopepunk 📊 Corporate Conspiracy

Cascade Failure

A deserter joins a ragtag crew and uncovers a terraforming weapon that silences entire planets.

저자: L.M. Sagas 2024 407 페이지

3.88

4,000+ 개의 평점

🛠️ Found Family 🚀 Misfit Crew 🤖 Ai Captain 🌟 Hopepunk 📊 Corporate Conspiracy

Artificial Intelligence

저자: Neil Wilkins • 2019

The AI taking your job tomorrow does not exist. The fear is manufactured for profit.

3.18

🤖 Ai Skepticism 🔍 Technology Criticism 👁️ Surveillance Capitalism 🔒 Digital Privacy 💼 Future Of Work

Artificial Intelligence

The AI taking your job tomorrow does not exist. The fear is manufactured for profit.

저자: Neil Wilkins 2019 96 페이지

3.18

17 개의 평점

🤖 Ai Skepticism 🔍 Technology Criticism 👁️ Surveillance Capitalism 🔒 Digital Privacy 💼 Future Of Work

AI and Machine Learning for On-Device Development

저자: Laurence Moroney • 2021

Privacy-respecting on-device AI: face detection, text analysis, custom models. No cloud, no PhD.

4.17

📱 Mobile Development 🧠 On-Device Ai 🤖 Applied Machine Learning 🚀 Model Deployment 👁️ Computer Vision

AI and Machine Learning for On-Device Development

Privacy-respecting on-device AI: face detection, text analysis, custom models. No cloud, no PhD.

저자: Laurence Moroney 2021 326 페이지

4.17

6 개의 평점

📱 Mobile Development 🧠 On-Device Ai 🤖 Applied Machine Learning 🚀 Model Deployment 👁️ Computer Vision

Rise of Generative AI and ChatGPT

저자: Utpal Chakraborty • 2023

Generative AI's business playbook: what ChatGPT delivers, where it stumbles, and what comes next.

1.33

🧠 Generative Ai 💼 Ai In Business ⚖️ Ai Ethics 💬 Natural Language Processing 📖 Ai Literacy

Rise of Generative AI and ChatGPT

Generative AI's business playbook: what ChatGPT delivers, where it stumbles, and what comes next.

저자: Utpal Chakraborty 2023 250 페이지

1.33

12 개의 평점

🧠 Generative Ai 💼 Ai In Business ⚖️ Ai Ethics 💬 Natural Language Processing 📖 Ai Literacy

The Escher Man

저자: T.R. Napper • 2024

A Macau hitman's syndicate is erasing his memory. The family he lost may be a lie.

3.83

434

🖤 Near-Future Noir 🧠 Unreliable Narrator 🔫 Hitman Protagonist 💾 Memory Manipulation 🏙️ Organized Crime

The Escher Man

A Macau hitman's syndicate is erasing his memory. The family he lost may be a lie.

저자: T.R. Napper 2024 368 페이지

3.83

434 개의 평점

🖤 Near-Future Noir 🧠 Unreliable Narrator 🔫 Hitman Protagonist 💾 Memory Manipulation 🏙️ Organized Crime

A Giant Leap

저자: Robert M. Wachter • 2026

Generative AI learned to think clinically. Now all of American medicine is up for grabs.

4.15

323

🏥 Healthcare Ai 💻 Digital Medicine 🤖 Generative Ai ⚖️ Ai Ethics 🔄 Technology Adoption

A Giant Leap

Generative AI learned to think clinically. Now all of American medicine is up for grabs.

저자: Robert M. Wachter 2026 352 페이지

4.15

323 개의 평점

🏥 Healthcare Ai 💻 Digital Medicine 🤖 Generative Ai ⚖️ Ai Ethics 🔄 Technology Adoption

The Science of Free Will

저자: Samir Varma • 2025

You can't predict your next thought. No computer can either. That's not a gap: it's free will.

3.35

🧩 Compatibilism 💻 Computation Theory 🦋 Chaos Theory 🤖 Ai Ethics 🌐 Emergence

The Science of Free Will

You can't predict your next thought. No computer can either. That's not a gap: it's free will.

저자: Samir Varma 2025 249 페이지

3.35

17 개의 평점

🧩 Compatibilism 💻 Computation Theory 🦋 Chaos Theory 🤖 Ai Ethics 🌐 Emergence

Machine Learning and AI for Healthcare

저자: Arjun Panesar • 2019

AI detects disease early and tailors drugs to your genome. The hard part is not tech; it is ethics.

3.53

🏥 Healthcare Ai 📊 Data-Driven Medicine 📱 Digital Health 🧬 Precision Medicine ⚖️ Algorithmic Bias

Machine Learning and AI for Healthcare

AI detects disease early and tailors drugs to your genome. The hard part is not tech; it is ethics.

저자: Arjun Panesar 2019 409 페이지

3.53

15 개의 평점

🏥 Healthcare Ai 📊 Data-Driven Medicine 📱 Digital Health 🧬 Precision Medicine ⚖️ Algorithmic Bias

The Digital Transformation Playbook

저자: Project Management Institute PMI • 2023

Digital transformation fails on culture, not code. The playbook that starts with human behavior.

🚀 Digital Transformation 🔄 Organizational Change 📊 Data-Driven Strategy ⚙️ Sociotechnical Design 📋 Project Management

The Digital Transformation Playbook

Digital transformation fails on culture, not code. The playbook that starts with human behavior.

저자: Project Management Institute PMI 2023 189 페이지

🚀 Digital Transformation 🔄 Organizational Change 📊 Data-Driven Strategy ⚙️ Sociotechnical Design 📋 Project Management

Understanding Large Language Models

저자: Thimira Amaratunga • 2023

The 2017 architecture that made LLMs huge and fluent but unable to think, and how it works.

5.00

🗣️ Natural Language Processing 🤖 Generative Ai 📖 Ai Literacy ✍️ Prompt Engineering ⚖️ Ai Ethics

Understanding Large Language Models

The 2017 architecture that made LLMs huge and fluent but unable to think, and how it works.

저자: Thimira Amaratunga 2023 169 페이지

5.00

1 개의 평점

🗣️ Natural Language Processing 🤖 Generative Ai 📖 Ai Literacy ✍️ Prompt Engineering ⚖️ Ai Ethics

LIFEL1K3

저자: Jay Kristoff • 2018

A scavenger fights robots for medicine. When an android awakens, her hidden past comes hunting.

3.94

12,000+

🤖 Sentient Androids 🫂 Found Family 🧠 Implanted Memories ⚡ Hidden Powers 🏚️ Dystopian Wasteland

LIFEL1K3

A scavenger fights robots for medicine. When an android awakens, her hidden past comes hunting.

저자: Jay Kristoff 2018 402 페이지

3.94

12,000+ 개의 평점

🤖 Sentient Androids 🫂 Found Family 🧠 Implanted Memories ⚡ Hidden Powers 🏚️ Dystopian Wasteland

Low-Code AI

저자: Gwendolyn Stripling • 2023

Skip Python. Train regression models, engineer features, and explain predictions, all in SQL.

4.33

🛠️ Practical Ml 📊 Data Exploration 🔧 Feature Engineering 🔍 Model Interpretability 🧩 Low-Code Platforms

Low-Code AI

Skip Python. Train regression models, engineer features, and explain predictions, all in SQL.

저자: Gwendolyn Stripling 2023 325 페이지

4.33

6 개의 평점

🛠️ Practical Ml 📊 Data Exploration 🔧 Feature Engineering 🔍 Model Interpretability 🧩 Low-Code Platforms

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