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The Master Algorithm
by Pedro Domingos • 2015
Machine learning's rival schools share a hidden core. Finding it could unlock general intelligence.
3.73
6k+
The Master Algorithm Summary
The Master Algorithm 96%
Machine learning's rival schools share a hidden core. Finding it could unlock general intelligence.
by Pedro Domingos 2015
3.73
6k+ ratings
Numsense! Data Science for the Layman
by Annalyn Ng • 2017
Data science without the math: twelve techniques, what they do, and why intuition alone falls short.
4.14
622
Numsense! Data Science for the Layman Summary
Numsense! Data Science for the Layman 96%
Data science without the math: twelve techniques, what they do, and why intuition alone falls short.
by Annalyn Ng 2017
4.14
622 ratings
Machine Learning For Absolute Beginners
by Oliver Theobald • 2017
How machine learning algorithms think, from regression to neural networks, no math required.
4.12
474
Machine Learning For Absolute Beginners Summary
Machine Learning For Absolute Beginners 95%
How machine learning algorithms think, from regression to neural networks, no math required.
by Oliver Theobald 2017
4.12
474 ratings
Data Science
by John D. Kelleher • 2018
Turning raw data into decisions requires a defined process, not just algorithms and statistics.
3.90
876
Data Science Summary
Data Science 95%
Turning raw data into decisions requires a defined process, not just algorithms and statistics.
by John D. Kelleher 2018
3.90
876 ratings
AI and Machine Learning for Coders
by Laurence Moroney • 2021
Turn your code into AI that runs everywhere: train, optimize, deploy with a single toolkit.
4.09
108
AI and Machine Learning for Coders Summary
AI and Machine Learning for Coders 95%
Turn your code into AI that runs everywhere: train, optimize, deploy with a single toolkit.
by Laurence Moroney 2021
4.09
108 ratings
Artificial Intelligence and Machine Learning for Business
by Steven Finlay • 2018
ML projects fail for business reasons, not technical ones. The rules for getting it right.
4.14
207
Artificial Intelligence and Machine Learning for Business Summary
Artificial Intelligence and Machine Learning for Business 95%
ML projects fail for business reasons, not technical ones. The rules for getting it right.
by Steven Finlay 2018
4.14
207 ratings
Machine Learning
by Ethem Alpaydin • 2016
From spam filters to self-driving cars: the algorithms that learn from data, and what comes next.
3.62
1k+
Machine Learning Summary
Machine Learning 95%
From spam filters to self-driving cars: the algorithms that learn from data, and what comes next.
by Ethem Alpaydin 2016
3.62
1k+ ratings
Confident Data Skills
by Kirill Eremenko • 2018
From messy data to clean insights to persuasive presentations: the process that lands the promotion.
4.12
211
Confident Data Skills Summary
Confident Data Skills 95%
From messy data to clean insights to persuasive presentations: the process that lands the promotion.
by Kirill Eremenko 2018
4.12
211 ratings
Predictive Analytics For Dummies
by Anasse Bari • 2013
A guide to building models that forecast, classify, and find hidden patterns, without a math degree.
3.74
111
Predictive Analytics For Dummies Summary
Predictive Analytics For Dummies 95%
A guide to building models that forecast, classify, and find hidden patterns, without a math degree.
by Anasse Bari 2013
3.74
111 ratings
Deep Learning
by 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 Summary
Deep Learning 95%
Deep learning isn't clever math. It's simple neurons, wired at scale, learning from their mistakes.
by John D. Kelleher 2019
3.89
473 ratings
Artificial Intelligence (WIRED guides)
by Matthew Burgess • 2021
AI masters chess, spots cancer, drives cars. But who trains it, and on whose data?
3.71
147
Artificial Intelligence (WIRED guides) Summary
Artificial Intelligence (WIRED guides) 94%
AI masters chess, spots cancer, drives cars. But who trains it, and on whose data?
by Matthew Burgess 2021
3.71
147 ratings
Artificial Intelligence in Practice
by Bernard Marr • 2019
Robots patrol Walmart aisles. Netflix guesses your next watch. How 50 companies already run on AI.
3.41
251
Artificial Intelligence in Practice Summary
Artificial Intelligence in Practice 94%
Robots patrol Walmart aisles. Netflix guesses your next watch. How 50 companies already run on AI.
by Bernard Marr 2019
3.41
251 ratings
Artificial Intelligence For Dummies (For Dummies
by John Paul Mueller • 2018
AI is math, not magic. A plain-English guide to what machine learning can and cannot do.
3.41
242
Artificial Intelligence For Dummies (For Dummies Summary
Artificial Intelligence For Dummies (For Dummies 94%
AI is math, not magic. A plain-English guide to what machine learning can and cannot do.
by John Paul Mueller 2018
3.41
242 ratings
Practicing Trustworthy Machine Learning
by Yada Pruksachatkun • 2023
Privacy, fairness, explainability, robustness: the engineering guide for ML models that earn trust.
4.95
111
Practicing Trustworthy Machine Learning Summary
Practicing Trustworthy Machine Learning 94%
Privacy, fairness, explainability, robustness: the engineering guide for ML models that earn trust.
by Yada Pruksachatkun 2023
4.95
111 ratings
How AI Thinks
by 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 Summary
How AI Thinks 94%
It's a learning engine, not a thinking mind. The revolution is here, and it's not sentient.
by Nigel Toon 2024
3.62
322 ratings
Designing Machine Learning Systems
by Chip Huyen • 2022
Accuracy is not enough. An iterative playbook for machine learning systems that survive production.
4.45
1k+
Designing Machine Learning Systems Summary
Designing Machine Learning Systems 94%
Accuracy is not enough. An iterative playbook for machine learning systems that survive production.
by Chip Huyen 2022
4.45
1k+ ratings
Why Data Science Projects Fail
by Douglas Gray • 2024
Eighty percent of AI projects fail. The models work fine; the people, data, and expectations don't.
5.00
19
Why Data Science Projects Fail Summary
Why Data Science Projects Fail 94%
Eighty percent of AI projects fail. The models work fine; the people, data, and expectations don't.
by Douglas Gray 2024
5.00
19 ratings
The Deep Learning Revolution
by Terrence J. Sejnowski • 2018
The AI that works copies the brain. For decades it was a backwater. Then it won.
3.72
597
The Deep Learning Revolution Summary
The Deep Learning Revolution 94%
The AI that works copies the brain. For decades it was a backwater. Then it won.
by Terrence J. Sejnowski 2018
3.72
597 ratings
Artificial Intelligence
by 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 Summary
Artificial Intelligence 94%
An AI 101: the tech, the jobs at risk, and the one skill machines can't touch.
by Lasse Rouhiainen 2018
3.92
314 ratings
Predictive Analytics
by Eric Siegel • 2013
Companies know whether you'll leave, buy, or default before you've decided. Here's how.
3.66
2k+
Predictive Analytics Summary
Predictive Analytics 94%
Companies know whether you'll leave, buy, or default before you've decided. Here's how.
by Eric Siegel 2013
3.66
2k+ ratings
Data Smart
by John W. Foreman • 2013
Real machine learning inside Excel: cluster customers, forecast demand, optimize decisions. No code.
4.12
1k+
Data Smart Summary
Data Smart 94%
Real machine learning inside Excel: cluster customers, forecast demand, optimize decisions. No code.
by John W. Foreman 2013
4.12
1k+ ratings
The Ethical Algorithm
by Michael Kearns • 2019
Algorithms don't do ethics by default. Making them fair takes math, and the math demands trade-offs.
4.10
671
The Ethical Algorithm Summary
The Ethical Algorithm 94%
Algorithms don't do ethics by default. Making them fair takes math, and the math demands trade-offs.
by Michael Kearns 2019
4.10
671 ratings
What Are ChatGPT and Its Friends?
by Mike Loukides • 2023
A field guide to large language models: surprising strengths, dangerous blind spots, and real costs.
4.00
7
What Are ChatGPT and Its Friends? Summary
What Are ChatGPT and Its Friends? 93%
A field guide to large language models: surprising strengths, dangerous blind spots, and real costs.
by Mike Loukides 2023
4.00
7 ratings
Applied Artificial Intelligence
by Mariya Yao • 2018
AI that doesn't pay for itself is overhead. The business leader's framework for picking what wins.
3.57
410
Applied Artificial Intelligence Summary
Applied Artificial Intelligence 93%
AI that doesn't pay for itself is overhead. The business leader's framework for picking what wins.
by Mariya Yao 2018
3.57
410 ratings
Algorithms
by Panos Louridas • 2020
Twenty steps to find one item in a million, and the hidden logic that runs our world.
4.03
302
Algorithms Summary
Algorithms 93%
Twenty steps to find one item in a million, and the hidden logic that runs our world.
by Panos Louridas 2020
4.03
302 ratings
Real World AI
by Alyssa Simpson Rochwerger • 2021
Bring AI into a real business without bias, drift, and wasted millions: the practical playbook.
4.01
88
Real World AI Summary
Real World AI 93%
Bring AI into a real business without bias, drift, and wasted millions: the practical playbook.
by Alyssa Simpson Rochwerger 2021
4.01
88 ratings
The AI Playbook
by Eric Siegel • 2024
How to get machine learning out of the lab: sell the operational improvement, not the algorithm.
3.98
127
The AI Playbook Summary
The AI Playbook 93%
How to get machine learning out of the lab: sell the operational improvement, not the algorithm.
by Eric Siegel 2024
3.98
127 ratings
Why Machines Learn
by Anil Ananthaswamy • 2024
The perceptron flopped but the math stayed: the linear algebra and calculus that built the AI age.
4.38
1k+
Why Machines Learn Summary
Why Machines Learn 93%
The perceptron flopped but the math stayed: the linear algebra and calculus that built the AI age.
by Anil Ananthaswamy 2024
4.38
1k+ ratings
AI Value Creators
by Paul Zikopoulos • 2025
Most AI adopters stay users. Value creators build on proprietary data and governed models instead.
3.66
44
AI Value Creators Summary
AI Value Creators 93%
Most AI adopters stay users. Value creators build on proprietary data and governed models instead.
by Paul Zikopoulos 2025
3.66
44 ratings
Hello World
by Hannah Fry • 2018
When algorithms police, diagnose, and drive, blind trust becomes the real danger.
4.11
12k+
Hello World Summary
Hello World 93%
When algorithms police, diagnose, and drive, blind trust becomes the real danger.
by Hannah Fry 2018
4.11
12k+ ratings
The AI Workshop
by Milo Foster • 2025
AI without code: a plain-English guide to the tools and ideas that put it to work.
4.07
191
The AI Workshop Summary
The AI Workshop 93%
AI without code: a plain-English guide to the tools and ideas that put it to work.
by Milo Foster 2025
4.07
191 ratings
The AI Advantage
by Thomas H. Davenport • 2018
Stop chasing AI hype: the three business capabilities that actually deliver returns.
3.54
149
The AI Advantage Summary
The AI Advantage 93%
Stop chasing AI hype: the three business capabilities that actually deliver returns.
by Thomas H. Davenport 2018
3.54
149 ratings
Architects of Intelligence
by Martin Ford • 2018
AI's builders say the real crisis isn't superintelligence but a labor market already fracturing.
4.07
667
Architects of Intelligence Summary
Architects of Intelligence 93%
AI's builders say the real crisis isn't superintelligence but a labor market already fracturing.
by Martin Ford 2018
4.07
667 ratings
Some Future Day
by Marc Beckman • 2025
AI is the catalyst that makes our technologies work together, accelerating every field overnight.
3.50
46
Some Future Day Summary
Some Future Day 93%
AI is the catalyst that makes our technologies work together, accelerating every field overnight.
by Marc Beckman 2025
3.50
46 ratings
Genius Makers
by Cade Metz • 2021
The outcasts who revived neural networks, and the billion-dollar bidding war that followed.
4.26
3k+
Genius Makers Summary
Genius Makers 93%
The outcasts who revived neural networks, and the billion-dollar bidding war that followed.
by Cade Metz 2021
4.26
3k+ ratings
Big Data
by Viktor Mayer-Schönberger • 2013
The era of sampling, clean data, and causal certainty is over. What replaces it is stranger.
3.69
9k+
Big Data Summary
Big Data 93%
The era of sampling, clean data, and causal certainty is over. What replaces it is stranger.
by Viktor Mayer-Schönberger 2013
3.69
9k+ ratings
Marketing Artificial Intelligence
by Paul Roetzer • 2022
How to separate AI hype from real marketing use cases, and what to automate first.
3.66
132
Marketing Artificial Intelligence Summary
Marketing Artificial Intelligence 93%
How to separate AI hype from real marketing use cases, and what to automate first.
by Paul Roetzer 2022
3.66
132 ratings
Becoming a Data Head
by Alex J. Gutman • 2021
The critical thinking toolkit for anyone who works with data but never plans to code.
4.18
480
Becoming a Data Head Summary
Becoming a Data Head 93%
The critical thinking toolkit for anyone who works with data but never plans to code.
by Alex J. Gutman 2021
4.18
480 ratings
Rise of Generative AI and ChatGPT
by Utpal Chakraborty • 2023
Generative AI's business playbook: what ChatGPT delivers, where it stumbles, and what comes next.
1.33
12
Rise of Generative AI and ChatGPT Summary
Rise of Generative AI and ChatGPT 93%
Generative AI's business playbook: what ChatGPT delivers, where it stumbles, and what comes next.
by Utpal Chakraborty 2023
1.33
12 ratings
Everyday Chaos
by David Weinberger • 2019
A medical AI diagnoses illness but can't explain how. The age of demanding explanations is over.
3.78
202
Everyday Chaos Summary
Everyday Chaos 93%
A medical AI diagnoses illness but can't explain how. The age of demanding explanations is over.
by David Weinberger 2019
3.78
202 ratings
ChatGPT
by Kenneth Caraballo • 2023
A language model is already rewriting the rules of customer service, education, finance, and health.
ChatGPT Summary
ChatGPT 93%
A language model is already rewriting the rules of customer service, education, finance, and health.
by Kenneth Caraballo 2023
Impromptu
by Reid Hoffman • 2023
AI won't replace you. But someone using it will. The solo thinker era is ending.
3.77
782
Impromptu Summary
Impromptu 93%
AI won't replace you. But someone using it will. The solo thinker era is ending.
by Reid Hoffman 2023
3.77
782 ratings
The Age of A.I. and Our Human Future
by Henry Kissinger • 2021
Old rules of knowledge, power, and war were built for humans. AI is rewriting them.
3.43
5k+
The Age of A.I. and Our Human Future Summary
The Age of A.I. and Our Human Future 93%
Old rules of knowledge, power, and war were built for humans. AI is rewriting them.
by Henry Kissinger 2021
3.43
5k+ ratings
Data Strategy
by Bernard Marr • 2017
Profit from the data firehose: pick the right data, build a company that acts on it.
3.77
418
Data Strategy Summary
Data Strategy 93%
Profit from the data firehose: pick the right data, build a company that acts on it.
by Bernard Marr 2017
3.77
418 ratings
Automate This
by Christopher Steiner • 2012
Algorithms took Wall Street. Now they compose music, allocate kidneys, and profile personalities.
3.82
4k+
Automate This Summary
Automate This 93%
Algorithms took Wall Street. Now they compose music, allocate kidneys, and profile personalities.
by Christopher Steiner 2012
3.82
4k+ ratings
How Data Happened
by Chris Wiggins • 2023
Data was never neutral. How statistics went from serving kings to fueling the attention economy.
3.54
467
How Data Happened Summary
How Data Happened 93%
Data was never neutral. How statistics went from serving kings to fueling the attention economy.
by Chris Wiggins 2023
3.54
467 ratings
All-in On AI
by 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 Summary
All-in On AI 93%
Less than one percent of large companies are built around AI. The playbook for the rest.
by Thomas H. Davenport 2023
3.23
273 ratings
Once Upon an Algorithm
by Martin Erwig • 2017
What Hansel and Gretel, Sherlock Holmes, and Groundhog Day can teach you about algorithms.
3.63
265
Once Upon an Algorithm Summary
Once Upon an Algorithm 92%
What Hansel and Gretel, Sherlock Holmes, and Groundhog Day can teach you about algorithms.
by Martin Erwig 2017
3.63
265 ratings
How to Speak Machine
by John Maeda • 2019
Loops, scale, and unfinished products: what computers know that designers must learn.
3.69
521
How to Speak Machine Summary
How to Speak Machine 92%
Loops, scale, and unfinished products: what computers know that designers must learn.
by John Maeda 2019
3.69
521 ratings
A Common-Sense Guide to Data Structures and Algorithms
by Jay Wengrow • 2017
The algorithm knowledge that turns working code into fast code, explained without the math degree.
4.39
603
A Common-Sense Guide to Data Structures and Algorithms Summary
A Common-Sense Guide to Data Structures and Algorithms 92%
The algorithm knowledge that turns working code into fast code, explained without the math degree.
by Jay Wengrow 2017
4.39
603 ratings
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