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SoBrief

人工知能 本の要約

The Master Algorithm
著: Pedro Domingos • 2015
Machine learning's rival schools share a hidden core. Finding it could unlock general intelligence.
3.73
6,000+
The Master Algorithm 要約
The Master Algorithm
Machine learning's rival schools share a hidden core. Finding it could unlock general intelligence.
著: Pedro Domingos 2015 352 ページ
3.73
6,000+ 件の評価
Why Greatness Cannot Be Planned
著: Kenneth O. Stanley • 2015
Ambitious objectives blind you to the very discoveries that make them obsolete.
3.98
1,000+
Why Greatness Cannot Be Planned 要約
Why Greatness Cannot Be Planned
Ambitious objectives blind you to the very discoveries that make them obsolete.
著: Kenneth O. Stanley 2015 154 ページ
3.98
1,000+ 件の評価
Computing machinery and intelligence
著: Alan M. Turing • 1950
Fool the interrogator through conversation alone, and the machine deserves to be called intelligent.
4.15
500+
Computing machinery and intelligence 要約
Computing machinery and intelligence
Fool the interrogator through conversation alone, and the machine deserves to be called intelligent.
著: Alan M. Turing 1950 24 ページ
4.15
500+ 件の評価
Genius Makers
著: Cade Metz • 2021
The outcasts who revived neural networks, and the billion-dollar bidding war that followed.
4.26
3,000+
Genius Makers 要約
Genius Makers
The outcasts who revived neural networks, and the billion-dollar bidding war that followed.
著: Cade Metz 2021 384 ページ
4.26
3,000+ 件の評価
Our Final Invention
著: James Barrat • 2013
An intelligence greater than human will not hate us; it simply won't need us.
3.72
3,000+
Our Final Invention 要約
Our Final Invention
An intelligence greater than human will not hate us; it simply won't need us.
著: James Barrat 2013 322 ページ
3.72
3,000+ 件の評価
Superminds
著: Thomas W. Malone • 2018
Genius is a group activity. And computers have just earned their seat at the table.
3.56
343
Superminds 要約
Superminds
Genius is a group activity. And computers have just earned their seat at the table.
著: Thomas W. Malone 2018 384 ページ
3.56
343 件の評価
マーケティング人工知能:AI、マーケティング、そしてビジネスの未来
著: ポール・レッツァー • 2022
How to separate AI hype from real marketing use cases, and what to automate first.
3.66
132
マーケティング人工知能:AI、マーケティング、そしてビジネスの未来 要約
マーケティング人工知能:AI、マーケティング、そしてビジネスの未来
How to separate AI hype from real marketing use cases, and what to automate first.
著: ポール・レッツァー 2022 256 ページ
3.66
132 件の評価
Hello World
著: Hannah Fry • 2018
When algorithms police, diagnose, and drive, blind trust becomes the real danger.
4.11
11,000+
Hello World 要約
Hello World
When algorithms police, diagnose, and drive, blind trust becomes the real danger.
著: Hannah Fry 2018 256 ページ
4.11
11,000+ 件の評価
The Future Is Faster Than You Think
著: Peter H. Diamandis • 2020
Breakthroughs are converging. The next decade will deliver a century's worth of change.
4.13
5,000+
The Future Is Faster Than You Think 要約
The Future Is Faster Than You Think
Breakthroughs are converging. The next decade will deliver a century's worth of change.
著: Peter H. Diamandis 2020 384 ページ
4.13
5,000+ 件の評価
The Big Nine
著: Amy Webb • 2019
Nine companies control AI's future. Their blind spots are becoming everyone's problem.
3.75
2,000+
The Big Nine 要約
The Big Nine
Nine companies control AI's future. Their blind spots are becoming everyone's problem.
著: Amy Webb 2019 336 ページ
3.75
2,000+ 件の評価
How to Create a Mind
著: Ray Kurzweil • 2012
The brain runs on 300 million pattern recognizers. Copy that hierarchy, and human-level AI is next.
3.96
7,000+
How to Create a Mind 要約
How to Create a Mind
The brain runs on 300 million pattern recognizers. Copy that hierarchy, and human-level AI is next.
著: Ray Kurzweil 2012 336 ページ
3.96
7,000+ 件の評価
Deep Thinking
著: Garry Kasparov • 2017
Beaten by Deep Blue, Kasparov argues the best moves come from humans and machines thinking together.
3.88
3,000+
Deep Thinking 要約
Deep Thinking
Beaten by Deep Blue, Kasparov argues the best moves come from humans and machines thinking together.
著: Garry Kasparov 2017 304 ページ
3.88
3,000+ 件の評価
You Look Like a Thing and I Love You
著: 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+
You Look Like a Thing and I Love You 要約
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.
著: Janelle Shane 2019 272 ページ
4.11
4,000+ 件の評価
Rise of the Robots
著: Martin Ford • 2015
Productivity soars, wages stagnate, and education won't fix it. The real economics of automation.
3.96
9,000+
Rise of the Robots 要約
Rise of the Robots
Productivity soars, wages stagnate, and education won't fix it. The real economics of automation.
著: Martin Ford 2015 352 ページ
3.96
9,000+ 件の評価
Machine, Platform, Crowd
著: Andrew McAfee • 2018
Machines outthink experts, platforms own customers, and outsiders solve what insiders cannot.
4.04
2,000+
Machine, Platform, Crowd 要約
Machine, Platform, Crowd
Machines outthink experts, platforms own customers, and outsiders solve what insiders cannot.
著: Andrew McAfee 2018 416 ページ
4.04
2,000+ 件の評価
A World Without Work
著: Daniel Susskind • 2020
Past automation always created more jobs than it killed. The evidence that this time is different.
3.83
1,000+
A World Without Work 要約
A World Without Work
Past automation always created more jobs than it killed. The evidence that this time is different.
著: Daniel Susskind 2020 307 ページ
3.83
1,000+ 件の評価
The Experience Machine
著: Andy Clark • 2023
Your brain guesses reality instead of recording it, and the mismatch shapes everything.
3.91
1,000+
The Experience Machine 要約
The Experience Machine
Your brain guesses reality instead of recording it, and the mismatch shapes everything.
著: Andy Clark 2023 304 ページ
3.91
1,000+ 件の評価
Designing Machine Learning Systems
著: Chip Huyen • 2022
Accuracy is not enough. An iterative playbook for machine learning systems that survive production.
4.45
1,000+
Designing Machine Learning Systems 要約
Designing Machine Learning Systems
Accuracy is not enough. An iterative playbook for machine learning systems that survive production.
著: Chip Huyen 2022 368 ページ
4.45
1,000+ 件の評価
Mindmasters
著: Sandra Matz • 2025
Algorithms read personality from digital traces. The fix isn't privacy; it's collective ownership.
3.96
399
Mindmasters 要約
Mindmasters
Algorithms read personality from digital traces. The fix isn't privacy; it's collective ownership.
著: Sandra Matz 2025 240 ページ
3.96
399 件の評価
The Elements of Statistical Learning
著: Trevor Hastie • 2001
The unified mathematical engine under linear regression, trees, and neural nets.
4.43
1,000+
The Elements of Statistical Learning 要約
The Elements of Statistical Learning
The unified mathematical engine under linear regression, trees, and neural nets.
著: Trevor Hastie 2001 552 ページ
4.43
1,000+ 件の評価
ビジネスのための人工知能と機械学習:データ駆動技術の実践ガイド
著: スティーブン・フィンレイ • 2018
ML projects fail for business reasons, not technical ones. The rules for getting it right.
4.14
207
ビジネスのための人工知能と機械学習:データ駆動技術の実践ガイド 要約
ビジネスのための人工知能と機械学習:データ駆動技術の実践ガイド
ML projects fail for business reasons, not technical ones. The rules for getting it right.
著: スティーブン・フィンレイ 2018 192 ページ
4.14
207 件の評価
The Neuroscience of Intelligence
著: Richard J. Haier • 2015
Intelligence is largely inherited and stubbornly hard to improve. The neuroscience is clear.
4.23
453
The Neuroscience of Intelligence 要約
The Neuroscience of Intelligence
Intelligence is largely inherited and stubbornly hard to improve. The neuroscience is clear.
著: Richard J. Haier 2015 270 ページ
4.23
453 件の評価
Why Machines Learn
著: Anil Ananthaswamy • 2024
The perceptron flopped but the math stayed: the linear algebra and calculus that built the AI age.
4.38
1,000+
Why Machines Learn 要約
Why Machines Learn
The perceptron flopped but the math stayed: the linear algebra and calculus that built the AI age.
著: Anil Ananthaswamy 2024 480 ページ
4.38
1,000+ 件の評価
Prediction Machines, Updated and Expanded
著: Ajay Agrawal • 2022
AI is prediction that gets less costly. When it does, the structure of business shifts.
3.86
3,000+
Prediction Machines, Updated and Expanded 要約
Prediction Machines, Updated and Expanded
AI is prediction that gets less costly. When it does, the structure of business shifts.
著: Ajay Agrawal 2022 304 ページ
3.86
3,000+ 件の評価
The Emperor's New Mind
著: Roger Penrose • 1989
Consciousness isn't computation. Proof spans Gödel's theorem to quantum gravity's missing laws.
3.91
7,000+
The Emperor's New Mind 要約
The Emperor's New Mind
Consciousness isn't computation. Proof spans Gödel's theorem to quantum gravity's missing laws.
著: Roger Penrose 1989 636 ページ
3.91
7,000+ 件の評価
The Age of Spiritual Machines
著: Ray Kurzweil • 1998
Exponential growth puts thinking machines in our future; the only question is what we become after.
3.89
4,000+
The Age of Spiritual Machines 要約
The Age of Spiritual Machines
Exponential growth puts thinking machines in our future; the only question is what we become after.
著: Ray Kurzweil 1998 681 ページ
3.89
4,000+ 件の評価
HBR Guide to Generative AI for Managers
著: Elisa Farri • 2025
Gen AI is more than a productivity tool. Here's how to make it a strategic partner.
3.67
111
HBR Guide to Generative AI for Managers 要約
HBR Guide to Generative AI for Managers
Gen AI is more than a productivity tool. Here's how to make it a strategic partner.
著: Elisa Farri 2025 258 ページ
3.67
111 件の評価
The Exponential Age
著: Azeem Azhar • 2021
Tech accelerates exponentially; institutions crawl. The gap is reshaping wealth, work, and war.
3.98
1,000+
The Exponential Age 要約
The Exponential Age
Tech accelerates exponentially; institutions crawl. The gap is reshaping wealth, work, and war.
著: Azeem Azhar 2021 403 ページ
3.98
1,000+ 件の評価
What Is ChatGPT Doing... and Why Does It Work?
著: Stephen Wolfram • 2023
ChatGPT is just next-word prediction. The breakthrough is what that reveals about language itself.
3.85
1,000+
What Is ChatGPT Doing... and Why Does It Work? 要約
What Is ChatGPT Doing... and Why Does It Work?
ChatGPT is just next-word prediction. The breakthrough is what that reveals about language itself.
著: Stephen Wolfram 2023 143 ページ
3.85
1,000+ 件の評価
Computer Power and Human Reason
著: 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
Computer Power and Human Reason 要約
Computer Power and Human Reason
The computer's greatest danger isn't outthinking us; it's that we'll remake ourselves in its image.
著: Joseph Weizenbaum 1976 300 ページ
4.31
294 件の評価
Tomorrow's Lawyers
著: Richard Susskind • 2013
More legal help for less money: the demand that is finally breaking law firms apart.
3.90
1,000+
Tomorrow's Lawyers 要約
Tomorrow's Lawyers
More legal help for less money: the demand that is finally breaking law firms apart.
著: Richard Susskind 2013 208 ページ
3.90
1,000+ 件の評価
All-in On AI
著: Thomas H. Davenport • 2023
Less than one percent of large companies are built around AI. The playbook for the rest.
3.23
273
All-in On AI 要約
All-in On AI
Less than one percent of large companies are built around AI. The playbook for the rest.
著: Thomas H. Davenport 2023 215 ページ
3.23
273 件の評価
How AI Thinks
著: Nigel Toon • 2024
It's a learning engine, not a thinking mind. The revolution is here, and it's not sentient.
3.62
322
How AI Thinks 要約
How AI Thinks
It's a learning engine, not a thinking mind. The revolution is here, and it's not sentient.
著: Nigel Toon 2024 305 ページ
3.62
322 件の評価
Hands-On Machine Learning with Scikit-Learn and TensorFlow
著: Aurélien Géron • 2017
How neural networks remember: training RNNs, LSTMs, and GRUs for tasks where order matters.
4.55
2,000+
Hands-On Machine Learning with Scikit-Learn and TensorFlow 要約
Hands-On Machine Learning with Scikit-Learn and TensorFlow
How neural networks remember: training RNNs, LSTMs, and GRUs for tasks where order matters.
著: Aurélien Géron 2017 566 ページ
4.55
2,000+ 件の評価
HBR's 10 Must Reads on AI, Analytics, and the New Machine Age
著: Harvard Business Review • 2019
Platforms seize power, blockchain rewrites trust, AI learns to collaborate. HBR's briefing.
3.86
500+
HBR's 10 Must Reads on AI, Analytics, and the New Machine Age 要約
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.
著: Harvard Business Review 2019 238 ページ
3.86
500+ 件の評価
The Myth of Artificial Intelligence
著: Erik J. Larson • 2021
Computers can't guess. That single limitation makes human-level AI a myth, not an inevitability.
3.96
500+
The Myth of Artificial Intelligence 要約
The Myth of Artificial Intelligence
Computers can't guess. That single limitation makes human-level AI a myth, not an inevitability.
著: Erik J. Larson 2021 320 ページ
3.96
500+ 件の評価
2084
著: John C. Lennox • 2020
Silicon won't make us gods. A mathematician traces the transhumanist dream back to Eden.
3.93
1,000+
2084 要約
2084
Silicon won't make us gods. A mathematician traces the transhumanist dream back to Eden.
著: John C. Lennox 2020 229 ページ
3.93
1,000+ 件の評価
Data Strategy
著: Bernard Marr • 2017
Profit from the data firehose: pick the right data, build a company that acts on it.
3.77
418
Data Strategy 要約
Data Strategy
Profit from the data firehose: pick the right data, build a company that acts on it.
著: Bernard Marr 2017 200 ページ
3.77
418 件の評価
The Technology Trap
著: Carl Benedikt Frey • 2019
The telescope helps you see. The power loom takes your job. Which one is AI?
4.10
500+
The Technology Trap 要約
The Technology Trap
The telescope helps you see. The power loom takes your job. Which one is AI?
著: Carl Benedikt Frey 2019 480 ページ
4.10
500+ 件の評価
The Hundred-Page Machine Learning Book
著: Andriy Burkov • 2019
The one-sitting machine learning education: a hundred pages, no code, every algorithm that matters.
4.25
1,000+
The Hundred-Page Machine Learning Book 要約
The Hundred-Page Machine Learning Book
The one-sitting machine learning education: a hundred pages, no code, every algorithm that matters.
著: Andriy Burkov 2019 159 ページ
4.25
1,000+ 件の評価
Competing on Analytics
著: Thomas H. Davenport • 2007
Why some companies (like Amazon and Capital One) win by making bets on data, not hunches.
3.69
1,000+
Competing on Analytics 要約
Competing on Analytics
Why some companies (like Amazon and Capital One) win by making bets on data, not hunches.
著: Thomas H. Davenport 2007 218 ページ
3.69
1,000+ 件の評価
Quantum Supremacy
著: Michio Kaku • 2023
Physics' strangest laws are about to power computers that crack encryption and reinvent medicine.
3.78
3,000+
Quantum Supremacy 要約
Quantum Supremacy
Physics' strangest laws are about to power computers that crack encryption and reinvent medicine.
著: Michio Kaku 2023 352 ページ
3.78
3,000+ 件の評価
The AI Con
著: 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+
The AI Con 要約
The AI Con
ChatGPT isn't thinking, the doom-sayers aren't helping, and the real AI harms are already here.
著: Emily M. Bender 2025 288 ページ
3.69
1,000+ 件の評価
If Anyone Builds It, Everyone Dies
著: Eliezer Yudkowsky • 2025
Superhuman AI kills without malice. Its goals turn our atoms into raw material, not our future.
3.92
7,000+
If Anyone Builds It, Everyone Dies 要約
If Anyone Builds It, Everyone Dies
Superhuman AI kills without malice. Its goals turn our atoms into raw material, not our future.
著: Eliezer Yudkowsky 2025 272 ページ
3.92
7,000+ 件の評価
第四の変革:拡張現実と人工知能はいかにすべてを変えるか
著: ロバート・スコーブル • 2016
Factory workers using AR headsets made 90% fewer errors. The next computing era has already started.
3.75
492
第四の変革:拡張現実と人工知能はいかにすべてを変えるか 要約
第四の変革:拡張現実と人工知能はいかにすべてを変えるか
Factory workers using AR headsets made 90% fewer errors. The next computing era has already started.
著: ロバート・スコーブル 2016 163 ページ
3.75
492 件の評価
Data Science
著: John D. Kelleher • 2018
Turning raw data into decisions requires a defined process, not just algorithms and statistics.
3.90
500+
Data Science 要約
Data Science
Turning raw data into decisions requires a defined process, not just algorithms and statistics.
著: John D. Kelleher 2018 280 ページ
3.90
500+ 件の評価
God, Human, Animal, Machine
著: Meghan O'Gieblyn • 2021
We swapped God for AI. A former fundamentalist finds the old religion hiding in our machines.
4.23
3,000+
God, Human, Animal, Machine 要約
God, Human, Animal, Machine
We swapped God for AI. A former fundamentalist finds the old religion hiding in our machines.
著: Meghan O'Gieblyn 2021 273 ページ
4.23
3,000+ 件の評価
Artificial Intelligence and the Future of Power
著: Rajiv Malhotra • 2021
Two nations race to own AI. The prize: your job, your mind, and the global pecking order.
4.28
217
Artificial Intelligence and the Future of Power 要約
Artificial Intelligence and the Future of Power
Two nations race to own AI. The prize: your job, your mind, and the global pecking order.
著: Rajiv Malhotra 2021 520 ページ
4.28
217 件の評価
Killer ChatGPT Prompts
著: Guy Hart-Davis • 2023
Everyone has ChatGPT. The difference between frustration and productivity is how you ask.
2.56
39
Killer ChatGPT Prompts 要約
Killer ChatGPT Prompts
Everyone has ChatGPT. The difference between frustration and productivity is how you ask.
著: Guy Hart-Davis 2023 240 ページ
2.56
39 件の評価
The AI Revolution in Medicine
著: Peter Lee • 2023
GPT-4 can diagnose, comfort patients, and fight burnout. Nobody knows if it truly understands.
3.87
500+
The AI Revolution in Medicine 要約
The AI Revolution in Medicine
GPT-4 can diagnose, comfort patients, and fight burnout. Nobody knows if it truly understands.
著: Peter Lee 2023 304 ページ
3.87
500+ 件の評価
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