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Books like Think Stats

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
📊 Data Science📖 Data Literacy🤖 Machine Learning Basics
Confident Data Skills Summary
Confident Data Skills 94%
From messy data to clean insights to persuasive presentations: the process that lands the promotion.
by Kirill Eremenko 2018
4.12
211 ratings
📊 Data Science📖 Data Literacy🤖 Machine Learning Basics
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
📊 Data Science🔮 Predictive Modeling🐥 Beginner Guides
Predictive Analytics For Dummies Summary
Predictive Analytics For Dummies 94%
A guide to building models that forecast, classify, and find hidden patterns, without a math degree.
by Anasse Bari 2013
3.74
111 ratings
📊 Data Science🔮 Predictive Modeling🐥 Beginner Guides
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 Mining🧭 Data Science Methodology📈 Predictive Modeling
Data Science Summary
Data Science 94%
Turning raw data into decisions requires a defined process, not just algorithms and statistics.
by John D. Kelleher 2018
3.90
876 ratings
🔎 Data Mining🧭 Data Science Methodology📈 Predictive Modeling
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
📊 Data Literacy📈 Business Analytics🧠 Statistical Thinking
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
📊 Data Literacy📈 Business Analytics🧠 Statistical Thinking
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
🧠 Data Literacy🤖 Machine Learning Basics📈 Predictive Analytics
Numsense! Data Science for the Layman Summary
Numsense! Data Science for the Layman 93%
Data science without the math: twelve techniques, what they do, and why intuition alone falls short.
by Annalyn Ng 2017
4.14
622 ratings
🧠 Data Literacy🤖 Machine Learning Basics📈 Predictive Analytics
The Numbers Game
by Michael Blastland • 2008
Most numbers in the news mislead you; a few mental habits reveal the real story.
3.65
344
📊 Statistical Literacy📈 Data Interpretation🤨 Media Skepticism
The Numbers Game Summary
The Numbers Game 92%
Most numbers in the news mislead you; a few mental habits reveal the real story.
by Michael Blastland 2008
3.65
344 ratings
📊 Statistical Literacy📈 Data Interpretation🤨 Media Skepticism
The Art of Doing Science and Engineering
by Richard W. Hamming • 1996
What separates great scientists from good ones: they pick better problems.
4.18
2k+
🧠 Scientific Thinking⚙️ Engineering Practice💻 Computational Thinking
The Art of Doing Science and Engineering Summary
The Art of Doing Science and Engineering 92%
What separates great scientists from good ones: they pick better problems.
by Richard W. Hamming 1996
4.18
2k+ ratings
🧠 Scientific Thinking⚙️ Engineering Practice💻 Computational Thinking
How to Read Numbers
by Tom Chivers • 2021
Missing denominators, tiny samples, and the WWII plane error that bends every news stat.
4.32
478
📊 Statistical Literacy📰 Media Skepticism⚠️ Risk Literacy
How to Read Numbers Summary
How to Read Numbers 91%
Missing denominators, tiny samples, and the WWII plane error that bends every news stat.
by Tom Chivers 2021
4.32
478 ratings
📊 Statistical Literacy📰 Media Skepticism⚠️ Risk Literacy
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
📊 Data Science Management🤖 Ai Implementation⚙️ Mlops
Why Data Science Projects Fail Summary
Why Data Science Projects Fail 91%
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
📊 Data Science Management🤖 Ai Implementation⚙️ Mlops
Data Smart
by John W. Foreman • 2013
Real machine learning inside Excel: cluster customers, forecast demand, optimize decisions. No code.
4.12
1k+
📊 Spreadsheet Modeling📈 Business Analytics🤖 Machine Learning For Managers
Data Smart Summary
Data Smart 91%
Real machine learning inside Excel: cluster customers, forecast demand, optimize decisions. No code.
by John W. Foreman 2013
4.12
1k+ ratings
📊 Spreadsheet Modeling📈 Business Analytics🤖 Machine Learning For Managers
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
🧱 Data Structures⏱️ Algorithm Analysis🧠 Algorithmic Thinking
A Common-Sense Guide to Data Structures and Algorithms Summary
A Common-Sense Guide to Data Structures and Algorithms 91%
The algorithm knowledge that turns working code into fast code, explained without the math degree.
by Jay Wengrow 2017
4.39
603 ratings
🧱 Data Structures⏱️ Algorithm Analysis🧠 Algorithmic Thinking
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🧹 Data Preparation⚖️ Model Evaluation
Machine Learning For Absolute Beginners Summary
Machine Learning For Absolute Beginners 91%
How machine learning algorithms think, from regression to neural networks, no math required.
by Oliver Theobald 2017
4.12
474 ratings
🧠 Machine Learning🧹 Data Preparation⚖️ Model Evaluation
The Model Thinker
by Scott E. Page • 2018
Big data without many models is just noise. The case for thinking through multiple frameworks.
3.92
955
🧠 Mental Models🔄 Systems Thinking🌀 Complexity Science
The Model Thinker Summary
The Model Thinker 91%
Big data without many models is just noise. The case for thinking through multiple frameworks.
by Scott E. Page 2018
3.92
955 ratings
🧠 Mental Models🔄 Systems Thinking🌀 Complexity Science
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
🧠 Computational Thinking📐 Algorithm Design📖 Story-Driven Education
Once Upon an Algorithm Summary
Once Upon an Algorithm 91%
What Hansel and Gretel, Sherlock Holmes, and Groundhog Day can teach you about algorithms.
by Martin Erwig 2017
3.63
265 ratings
🧠 Computational Thinking📐 Algorithm Design📖 Story-Driven Education
Storytelling with Data
by Cole Nussbaumer Knaflic • 2015
A repeatable process for turning messy spreadsheets into clear charts that drive action.
4.38
8k+
🖥️ Data Visualization💼 Business Communication📊 Data Storytelling
Storytelling with Data Summary
Storytelling with Data 91%
A repeatable process for turning messy spreadsheets into clear charts that drive action.
by Cole Nussbaumer Knaflic 2015
4.38
8k+ ratings
🖥️ Data Visualization💼 Business Communication📊 Data Storytelling
The Math of Life and Death
by Kit Yates • 2019
Key mathematical ideas govern medicine, law, and media, and your intuition gets each one wrong.
3.90
2k+
🧮 Popular Mathematics📐 Applied Mathematics📊 Statistical Literacy
The Math of Life and Death Summary
The Math of Life and Death 91%
Key mathematical ideas govern medicine, law, and media, and your intuition gets each one wrong.
by Kit Yates 2019
3.90
2k+ ratings
🧮 Popular Mathematics📐 Applied Mathematics📊 Statistical Literacy
Standard Deviations
by Gary Smith • 2014
Tortured data, seductive charts, and the cognitive bugs that turn noise into insight.
3.95
911
📊 Statistical Literacy🧠 Cognitive Biases📉 Data Visualization
Standard Deviations Summary
Standard Deviations 91%
Tortured data, seductive charts, and the cognitive bugs that turn noise into insight.
by Gary Smith 2014
3.95
911 ratings
📊 Statistical Literacy🧠 Cognitive Biases📉 Data Visualization
The Book of Why
by Judea Pearl • 2018
Data can't tell you why. A mathematical science of cause and effect finally can.
3.93
7k+
🏹 Causal Inference🕸️ Graphical Models🔄 Counterfactuals
The Book of Why Summary
The Book of Why 91%
Data can't tell you why. A mathematical science of cause and effect finally can.
by Judea Pearl 2018
3.93
7k+ ratings
🏹 Causal Inference🕸️ Graphical Models🔄 Counterfactuals
How to Lie with Statistics
by Darrell Huff • 1954
The tricks behind every statistical lie you encounter, and the questions that expose them.
3.84
18k+
🧮 Statistical Literacy🧐 Data Skepticism📉 Misleading Graphs
How to Lie with Statistics Summary
How to Lie with Statistics 91%
The tricks behind every statistical lie you encounter, and the questions that expose them.
by Darrell Huff 1954
3.84
18k+ ratings
🧮 Statistical Literacy🧐 Data Skepticism📉 Misleading Graphs
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
🧮 History Of Statistics🏛️ Data And Society⚖️ Data Ethics
How Data Happened Summary
How Data Happened 91%
Data was never neutral. How statistics went from serving kings to fueling the attention economy.
by Chris Wiggins 2023
3.54
467 ratings
🧮 History Of Statistics🏛️ Data And Society⚖️ Data Ethics
So lügt man mit Statistik
by Walter Krämer • 1991
Precision, percentages, and pretty charts: a catalog of ways statistics are rigged to mislead you.
3.74
136
📊 Statistical Literacy🎭 Data Manipulation🧠 Cognitive Biases
So lügt man mit Statistik Summary
So lügt man mit Statistik 91%
Precision, percentages, and pretty charts: a catalog of ways statistics are rigged to mislead you.
by Walter Krämer 1991
3.74
136 ratings
📊 Statistical Literacy🎭 Data Manipulation🧠 Cognitive Biases
A Survival Guide to the Misinformation Age
by David J. Helfand • 2016
Mental tools from science that let you gut-check any claim yourself, no search engine required.
3.71
220
🧪 Scientific Literacy🔍 Misinformation Defense🔢 Quantitative Reasoning
A Survival Guide to the Misinformation Age Summary
A Survival Guide to the Misinformation Age 91%
Mental tools from science that let you gut-check any claim yourself, no search engine required.
by David J. Helfand 2016
3.71
220 ratings
🧪 Scientific Literacy🔍 Misinformation Defense🔢 Quantitative Reasoning
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
🤖 Machine Learning🧠 Deep Learning🔵 Tensorflow
AI and Machine Learning for Coders Summary
AI and Machine Learning for Coders 91%
Turn your code into AI that runs everywhere: train, optimize, deploy with a single toolkit.
by Laurence Moroney 2021
4.09
108 ratings
🤖 Machine Learning🧠 Deep Learning🔵 Tensorflow
Keeping Up with the Quants
by Thomas H. Davenport • 2013
You hired the quants. Now learn the questions that turn their numbers into decisions.
3.57
585
🏢 Data-Driven Management📊 Business Analytics🧮 Quantitative Thinking
Keeping Up with the Quants Summary
Keeping Up with the Quants 91%
You hired the quants. Now learn the questions that turn their numbers into decisions.
by Thomas H. Davenport 2013
3.57
585 ratings
🏢 Data-Driven Management📊 Business Analytics🧮 Quantitative Thinking
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+
💰 Data As Asset📈 Predictive Analytics🧹 Imperfect Data
Big Data Summary
Big Data 91%
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
💰 Data As Asset📈 Predictive Analytics🧹 Imperfect Data
Numbers Rule Your World
by Fung • 2010
Statistics reveals why lines feel shorter, credit scores work, and safe airlines are an illusion.
3.56
1k+
📊 Statistical Literacy📈 Data Interpretation🎲 Probability Thinking
Numbers Rule Your World Summary
Numbers Rule Your World 91%
Statistics reveals why lines feel shorter, credit scores work, and safe airlines are an illusion.
by Fung 2010
3.56
1k+ ratings
📊 Statistical Literacy📈 Data Interpretation🎲 Probability Thinking
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+
📊 Data Science🔮 Predictive Analytics📈 Big Data
Predictive Analytics Summary
Predictive Analytics 91%
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 Science🔮 Predictive Analytics📈 Big Data
Robin Hood Math
by Noah Giansiracusa • 2025
Algorithms price your insurance, rank your resume, curate your reality. The math that fights back.
3.91
185
🧮 Algorithmic Literacy🛡️ Digital Self-Defense📐 Applied Mathematics
Robin Hood Math Summary
Robin Hood Math 91%
Algorithms price your insurance, rank your resume, curate your reality. The math that fights back.
by Noah Giansiracusa 2025
3.91
185 ratings
🧮 Algorithmic Literacy🛡️ Digital Self-Defense📐 Applied Mathematics
Big Data
by Bernard Marr • 2015
Most data projects fail because they start with data, not strategy. Five questions change that.
3.59
416
🎯 Data Strategy📊 Business Analytics📈 Performance Metrics
Big Data Summary
Big Data 91%
Most data projects fail because they start with data, not strategy. Five questions change that.
by Bernard Marr 2015
3.59
416 ratings
🎯 Data Strategy📊 Business Analytics📈 Performance Metrics
The Theory That Would Not Die
by Sharon Bertsch McGrayne • 2011
Statisticians said it was dead. Turing used it to crack Enigma. Computers made it unstoppable.
3.77
3k+
🧮 Bayesian Statistics📜 History Of Mathematics🎲 Probability Theory
The Theory That Would Not Die Summary
The Theory That Would Not Die 90%
Statisticians said it was dead. Turing used it to crack Enigma. Computers made it unstoppable.
by Sharon Bertsch McGrayne 2011
3.77
3k+ ratings
🧮 Bayesian Statistics📜 History Of Mathematics🎲 Probability Theory
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
⚖️ Algorithmic Bias🔒 Data Privacy🤖 Ai Ethics
The Ethical Algorithm Summary
The Ethical Algorithm 90%
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
⚖️ Algorithmic Bias🔒 Data Privacy🤖 Ai Ethics
Computational Thinking
by Peter J. Denning • 2019
It is a 4,500-year-old practice that built modern science, yet most confuse it with just coding.
3.63
304
💭 Computational Thinking🕰️ History Of Computing🎨 Design Thinking
Computational Thinking Summary
Computational Thinking 90%
It is a 4,500-year-old practice that built modern science, yet most confuse it with just coding.
by Peter J. Denning 2019
3.63
304 ratings
💭 Computational Thinking🕰️ History Of Computing🎨 Design Thinking
Smart Baseball
by Keith Law • 2017
Batting average, pitcher wins, RBI: why they fail, and the numbers that actually predict winning.
3.95
3k+
🧮 Sabermetrics📖 Data Literacy🧠 Myth Debunking
Smart Baseball Summary
Smart Baseball 90%
Batting average, pitcher wins, RBI: why they fail, and the numbers that actually predict winning.
by Keith Law 2017
3.95
3k+ ratings
🧮 Sabermetrics📖 Data Literacy🧠 Myth Debunking
Web Analytics 2.0
by Avinash Kaushik • 2009
Your web data is lying to you. The framework that turns page views into decisions.
4.13
2k+
🖥️ Digital Analytics🎯 Performance Indicators🧪 Online Experimentation
Web Analytics 2.0 Summary
Web Analytics 2.0 90%
Your web data is lying to you. The framework that turns page views into decisions.
by Avinash Kaushik 2009
4.13
2k+ ratings
🖥️ Digital Analytics🎯 Performance Indicators🧪 Online Experimentation
Competing on Analytics
by Thomas H. Davenport • 2007
Why some companies (like Amazon and Capital One) win by making bets on data, not hunches.
3.69
2k+
📊 Analytics Strategy🔮 Predictive Modeling📋 Fact-Based Decisions
Competing on Analytics Summary
Competing on Analytics 90%
Why some companies (like Amazon and Capital One) win by making bets on data, not hunches.
by Thomas H. Davenport 2007
3.69
2k+ ratings
📊 Analytics Strategy🔮 Predictive Modeling📋 Fact-Based Decisions
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🕸️ Neural Networks🔬 Deep Learning
Machine Learning Summary
Machine Learning 90%
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
🧠 Machine Learning🕸️ Neural Networks🔬 Deep Learning
Pluses and Minuses
by Stefan Buijsman • 2018
Three mathematical discoveries run your digital life; understanding them is simpler than you think.
3.41
290
🧮 Applied Mathematics📜 History Of Mathematics🔢 Mathematical Literacy
Pluses and Minuses Summary
Pluses and Minuses 90%
Three mathematical discoveries run your digital life; understanding them is simpler than you think.
by Stefan Buijsman 2018
3.41
290 ratings
🧮 Applied Mathematics📜 History Of Mathematics🔢 Mathematical Literacy
Nine Algorithms That Changed the Future
by John MacCormick • 2012
The hidden algorithms behind search and security, and the one problem no machine can solve.
3.89
2k+
📘 Algorithms Explained🧠 Computational Thinking🌐 Digital Infrastructure
Nine Algorithms That Changed the Future Summary
Nine Algorithms That Changed the Future 90%
The hidden algorithms behind search and security, and the one problem no machine can solve.
by John MacCormick 2012
3.89
2k+ ratings
📘 Algorithms Explained🧠 Computational Thinking🌐 Digital Infrastructure
How Not to Be Wrong
by Jordan Ellenberg • 2014
Your brain defaults to straight lines. Math reveals the curves that keep you from being wrong.
3.95
22k+
🧮 Mathematical Thinking📊 Statistical Thinking🧠 Cognitive Biases
How Not to Be Wrong Summary
How Not to Be Wrong 90%
Your brain defaults to straight lines. Math reveals the curves that keep you from being wrong.
by Jordan Ellenberg 2014
3.95
22k+ ratings
🧮 Mathematical Thinking📊 Statistical Thinking🧠 Cognitive Biases
Damned Lies and Statistics
by Joel Best • 1998
Every statistic conceals a choice: what to count, what to ignore, and whose agenda it serves.
3.72
830
📊 Statistical Literacy📰 Media Criticism🏗️ Social Constructionism
Damned Lies and Statistics Summary
Damned Lies and Statistics 90%
Every statistic conceals a choice: what to count, what to ignore, and whose agenda it serves.
by Joel Best 1998
3.72
830 ratings
📊 Statistical Literacy📰 Media Criticism🏗️ Social Constructionism
Behind Every Good Decision
by Piyanka Jain • 2014
Analytics problems rarely need data scientists. A five-step framework anyone with Excel can use.
3.60
144
📊 Business Analytics📈 Data-Driven Decisions🧩 Analytics Frameworks
Behind Every Good Decision Summary
Behind Every Good Decision 90%
Analytics problems rarely need data scientists. A five-step framework anyone with Excel can use.
by Piyanka Jain 2014
3.60
144 ratings
📊 Business Analytics📈 Data-Driven Decisions🧩 Analytics Frameworks
Effective Data Storytelling
by Brent Dykes • 2019
Your data is sound and nobody acts. What the spreadsheet is missing.
4.20
305
🎯 Data Storytelling📊 Data Visualization📖 Narrative Design
Effective Data Storytelling Summary
Effective Data Storytelling 90%
Your data is sound and nobody acts. What the spreadsheet is missing.
by Brent Dykes 2019
4.20
305 ratings
🎯 Data Storytelling📊 Data Visualization📖 Narrative Design
How to Make the World Add Up
by Tim Harford • 2020
Bad statistics weaponize your feelings. Ten rules for seeing what the numbers actually say.
4.12
8k+
🧮 Statistical Literacy🧠 Cognitive Biases🔍 Data Skepticism
How to Make the World Add Up Summary
How to Make the World Add Up 90%
Bad statistics weaponize your feelings. Ten rules for seeing what the numbers actually say.
by Tim Harford 2020
4.12
8k+ ratings
🧮 Statistical Literacy🧠 Cognitive Biases🔍 Data Skepticism
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
📐 Algorithm Design💻 Computing Primers🕸️ Graph Theory
Algorithms Summary
Algorithms 90%
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
📐 Algorithm Design💻 Computing Primers🕸️ Graph Theory
AI in the Financial Markets
by Federico Cecconi • 2023
AI finds market patterns invisible to humans, trades on them instantly, and offers no explanation.
📉 Financial Markets💻 Fintech🤖 Algorithmic Trading
AI in the Financial Markets Summary
AI in the Financial Markets 90%
AI finds market patterns invisible to humans, trades on them instantly, and offers no explanation.
by Federico Cecconi 2023
📉 Financial Markets💻 Fintech🤖 Algorithmic Trading
The Tiger That Isn't
by Michael Blastland • 2007
A 40% increase sounds alarming. Should it? The simple questions that make numbers tell the truth.
3.91
670
🧮 Statistical Literacy🔍 Data Skepticism⚠️ Risk Assessment
The Tiger That Isn't Summary
The Tiger That Isn't 90%
A 40% increase sounds alarming. Should it? The simple questions that make numbers tell the truth.
by Michael Blastland 2007
3.91
670 ratings
🧮 Statistical Literacy🔍 Data Skepticism⚠️ Risk Assessment
Calling Bullshit
by Carl T. Bergstrom • 2020
Numbers and algorithms are the new bullshit. Two scientists hand you the detection kit.
4.10
5k+
🧠 Critical Thinking📊 Data Literacy📰 Media Literacy
Calling Bullshit Summary
Calling Bullshit 90%
Numbers and algorithms are the new bullshit. Two scientists hand you the detection kit.
by Carl T. Bergstrom 2020
4.10
5k+ ratings
🧠 Critical Thinking📊 Data Literacy📰 Media Literacy
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+
🤖 Machine Learning📚 Popular Science🧠 Superintelligence
The Master Algorithm Summary
The Master Algorithm 90%
Machine learning's rival schools share a hidden core. Finding it could unlock general intelligence.
by Pedro Domingos 2015
3.73
6k+ ratings
🤖 Machine Learning📚 Popular Science🧠 Superintelligence
Debugging
by David J. Agans • 2002
Learn to debug like a detective: reproduce the crime, divide the scene, and never guess.
4.26
509
🐛 Debugging🎯 Root Cause Analysis⚙️ Engineering Mindset
Debugging Summary
Debugging 90%
Learn to debug like a detective: reproduce the crime, divide the scene, and never guess.
by David J. Agans 2002
4.26
509 ratings
🐛 Debugging🎯 Root Cause Analysis⚙️ Engineering Mindset
Everything Is Predictable
by Tom Chivers • 2024
The math behind your spam filter also reveals that your brain is hallucinating reality.
4.02
1k+
🧮 Bayesian Thinking🎲 Probability Theory🧠 Predictive Processing
Everything Is Predictable Summary
Everything Is Predictable 90%
The math behind your spam filter also reveals that your brain is hallucinating reality.
by Tom Chivers 2024
4.02
1k+ ratings
🧮 Bayesian Thinking🎲 Probability Theory🧠 Predictive Processing
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