수학

수학은 시장 행동에서 자연 현상에 이르기까지 모든 것에 대한 우리의 이해를 형성하며, 혼돈 속에 숨겨진 패턴과 복잡성 속의 실용적인 해결책을 드러냅니다. 이 책들은 우리 세계를 지배하는 숫자 뒤에 숨겨진 우아한 원리와 매혹적인 이야기를 조명하여, 수학적 개념을 일상생활에서 이해하기 쉽고 의미 있게 만들어 줍니다.

수학 도서 요약

무종교

저자: 존 앨런 파울로스 • 2008

A mathematician audits the classic proofs for God and finds them full of logical holes.

3.66

2,000+

💭 Arguments For God 🧩 Logical Fallacies 🧠 Cognitive Biases 🧬 Evolutionary Psychology ⚖️ Secular Ethics

무종교

A mathematician audits the classic proofs for God and finds them full of logical holes.

저자: 존 앨런 파울로스 2008 158 페이지

3.66

2,000+ 개의 평점

💭 Arguments For God 🧩 Logical Fallacies 🧠 Cognitive Biases 🧬 Evolutionary Psychology ⚖️ Secular Ethics

Deep Learning with Python

저자: François Chollet • 2017

The Keras creator teaches you to build neural networks that see, read, and create in Python.

4.57

1,000+

🧠 Deep Learning 🐍 Python Programming 🏋️ Model Training 👁️ Computer Vision 💬 Natural Language Processing

Deep Learning with Python

The Keras creator teaches you to build neural networks that see, read, and create in Python.

저자: François Chollet 2017 350 페이지

4.57

1,000+ 개의 평점

🧠 Deep Learning 🐍 Python Programming 🏋️ Model Training 👁️ Computer Vision 💬 Natural Language Processing

Mathletics

저자: Wayne L. Winston • 2009

The math that proves punting is overrated, OBP beats slugging, and payroll barely matters.

3.78

500+

🏟️ Sports Analytics 🎲 Game Theory 💰 Player Valuation 🎯 Probability In Sports 📈 Sports Economics

Mathletics

The math that proves punting is overrated, OBP beats slugging, and payroll barely matters.

저자: Wayne L. Winston 2009 392 페이지

3.78

500+ 개의 평점

🏟️ Sports Analytics 🎲 Game Theory 💰 Player Valuation 🎯 Probability In Sports 📈 Sports Economics

The Ethical Algorithm

저자: Michael Kearns • 2019

Algorithms don't do ethics by default. Making them fair takes math, and the math demands trade-offs.

4.10

500+

⚖️ Algorithmic Bias 🔒 Data Privacy 🤖 Ai Ethics 🎲 Game Theory 🔬 Reproducibility Crisis

The Ethical Algorithm

Algorithms don't do ethics by default. Making them fair takes math, and the math demands trade-offs.

저자: Michael Kearns 2019 230 페이지

4.10

500+ 개의 평점

⚖️ Algorithmic Bias 🔒 Data Privacy 🤖 Ai Ethics 🎲 Game Theory 🔬 Reproducibility Crisis

Nine Algorithms That Changed the Future

저자: John MacCormick • 2012

The hidden algorithms behind search and security, and the one problem no machine can solve.

3.89

1,000+

📘 Algorithms Explained 🧠 Computational Thinking 🌐 Digital Infrastructure 💻 How Computers Work 🕰️ Computer Science History

Nine Algorithms That Changed the Future

The hidden algorithms behind search and security, and the one problem no machine can solve.

저자: John MacCormick 2012 219 페이지

3.89

1,000+ 개의 평점

📘 Algorithms Explained 🧠 Computational Thinking 🌐 Digital Infrastructure 💻 How Computers Work 🕰️ Computer Science History

Physics and Philosophy

저자: Werner Heisenberg • 1958

Observation doesn't just reveal reality at the quantum scale: it helps decide what becomes real.

4.03

3,000+

🧠 Philosophy Of Science ⚛️ Quantum Foundations 🏛️ Greek Natural Philosophy 📐 Copenhagen Interpretation 🔭 Observer And Measurement

Physics and Philosophy

Observation doesn't just reveal reality at the quantum scale: it helps decide what becomes real.

저자: Werner Heisenberg 1958 176 페이지

4.03

3,000+ 개의 평점

🧠 Philosophy Of Science ⚛️ Quantum Foundations 🏛️ Greek Natural Philosophy 📐 Copenhagen Interpretation 🔭 Observer And Measurement

Practical SQL

저자: Anthony DeBarros • 2022

Write real SQL: load data, join tables, run statistics, map locations, and query JSON in PostgreSQL.

4.26

239

💾 Sql 📊 Data Analysis 🗃️ Relational Databases 📖 Data Storytelling 🛠️ Learn By Doing

Practical SQL

Write real SQL: load data, join tables, run statistics, map locations, and query JSON in PostgreSQL.

저자: Anthony DeBarros 2022 427 페이지

4.26

239 개의 평점

💾 Sql 📊 Data Analysis 🗃️ Relational Databases 📖 Data Storytelling 🛠️ Learn By Doing

Play Optimal Poker

저자: Andrew Brokos • 2019

Your equilibrium baseline: how to build it for protection, and when to abandon it for profit.

4.17

212

🃏 Poker Strategy 🎲 Game Theory 📊 Range Construction 🎯 Exploitative Play 🔢 Mathematical Poker

Play Optimal Poker

Your equilibrium baseline: how to build it for protection, and when to abandon it for profit.

저자: Andrew Brokos 2019 243 페이지

4.17

212 개의 평점

🃏 Poker Strategy 🎲 Game Theory 📊 Range Construction 🎯 Exploitative Play 🔢 Mathematical Poker

The Mind of God

저자: Paul C.W. Davies • 1992

The universe's rational order is the fingerprint of a cosmic mind, a physicist argues.

3.86

1,000+

🌌 Cosmology ⚛️ Theoretical Physics 🔬 Philosophy Of Science ✝️ Science And Religion 🌍 Anthropic Principle

The Mind of God

The universe's rational order is the fingerprint of a cosmic mind, a physicist argues.

저자: Paul C.W. Davies 1992 256 페이지

3.86

1,000+ 개의 평점

🌌 Cosmology ⚛️ Theoretical Physics 🔬 Philosophy Of Science ✝️ Science And Religion 🌍 Anthropic Principle

Perspective Made Easy

저자: Ernest R. Norling • 1939

One horizon line, two vanishing points: the simple geometry behind every drawing that looks solid.

4.26

2,000+

🎨 Perspective Drawing 🏛️ Architectural Drawing ✏️ Drawing Fundamentals 📐 Geometric Construction 🏺 Classical Technique

Perspective Made Easy

One horizon line, two vanishing points: the simple geometry behind every drawing that looks solid.

저자: Ernest R. Norling 1939 224 페이지

4.26

2,000+ 개의 평점

🎨 Perspective Drawing 🏛️ Architectural Drawing ✏️ Drawing Fundamentals 📐 Geometric Construction 🏺 Classical Technique

How to Make the World Add Up

저자: Tim Harford • 2020

Bad statistics weaponize your feelings. Ten rules for seeing what the numbers actually say.

4.12

8,000+

🧮 Statistical Literacy 🧠 Cognitive Biases 🔍 Data Skepticism 💡 Behavioral Economics 💰 Economic Thinking

How to Make the World Add Up

Bad statistics weaponize your feelings. Ten rules for seeing what the numbers actually say.

저자: Tim Harford 2020 352 페이지

4.12

8,000+ 개의 평점

🧮 Statistical Literacy 🧠 Cognitive Biases 🔍 Data Skepticism 💡 Behavioral Economics 💰 Economic Thinking

Investing

저자: Robert G. Hagstrom • 2000

Physics, biology, and psychology, woven together, give an investor an edge no financial model can.

4.13

1,000+

🧠 Mental Models 📈 Investment Philosophy 🔗 Multidisciplinary Thinking 🌐 Complexity Economics 🎭 Behavioral Finance

Investing

Physics, biology, and psychology, woven together, give an investor an edge no financial model can.

저자: Robert G. Hagstrom 2000 224 페이지

4.13

1,000+ 개의 평점

🧠 Mental Models 📈 Investment Philosophy 🔗 Multidisciplinary Thinking 🌐 Complexity Economics 🎭 Behavioral Finance

War and Peace and War

저자: Peter Turchin • 2005

Empires aren't conquered. They dissolve from within, on a schedule that mathematics can model.

4.17

500+

🌀 Imperial Cycles 📉 Inequality And Collapse 🔢 Quantitative History 🏹 Frontier Societies ⚔️ Warfare And State Building

War and Peace and War

Empires aren't conquered. They dissolve from within, on a schedule that mathematics can model.

저자: Peter Turchin 2005 416 페이지

4.17

500+ 개의 평점

🌀 Imperial Cycles 📉 Inequality And Collapse 🔢 Quantitative History 🏹 Frontier Societies ⚔️ Warfare And State Building

Game Theory 101

저자: William Spaniel • 2011

Why two rational players can both end up worse off, and the equilibrium that reveals why.

3.77

372

🎲 Game Theory ♟️ Strategic Thinking 🤝 Social Dilemmas 🧠 Rational Choice 🏢 Competitive Strategy

Game Theory 101

Why two rational players can both end up worse off, and the equilibrium that reveals why.

저자: William Spaniel 2011 278 페이지

3.77

372 개의 평점

🎲 Game Theory ♟️ Strategic Thinking 🤝 Social Dilemmas 🧠 Rational Choice 🏢 Competitive Strategy

Six Degrees

저자: Duncan J. Watts • 2003

The hidden math that connects everyone: why short chains dominate epidemics, fads, and power grids.

3.90

1,000+

🔗 Network Theory 🧩 Complex Systems 🦠 Social Contagion 📉 Information Cascades ⚖️ Systemic Vulnerability

Six Degrees

The hidden math that connects everyone: why short chains dominate epidemics, fads, and power grids.

저자: Duncan J. Watts 2003 384 페이지

3.90

1,000+ 개의 평점

🔗 Network Theory 🧩 Complex Systems 🦠 Social Contagion 📉 Information Cascades ⚖️ Systemic Vulnerability

The Codebreakers

저자: David Kahn • 1967

The hidden art that read the minds of kings, generals, and spies across four millennia.

4.18

1,000+

🔐 History Of Cryptology 🔍 Codebreaking 📡 Signals Intelligence ⚙️ Cipher Design 🏛️ Classical Ciphers

The Codebreakers

The hidden art that read the minds of kings, generals, and spies across four millennia.

저자: David Kahn 1967 1200 페이지

4.18

1,000+ 개의 평점

🔐 History Of Cryptology 🔍 Codebreaking 📡 Signals Intelligence ⚙️ Cipher Design 🏛️ Classical Ciphers

The Fractal Geometry of Nature

저자: Benoît B. Mandelbrot • 1977

Coastlines lengthen as you zoom in; mountains and galaxies obey the same hidden arithmetic.

4.23

1,000+

🌀 Fractal Geometry 🦋 Chaos Theory 🕸️ Complex Systems 📏 Scaling Laws 🎲 Stochastic Processes

The Fractal Geometry of Nature

Coastlines lengthen as you zoom in; mountains and galaxies obey the same hidden arithmetic.

저자: Benoît B. Mandelbrot 1977 468 페이지

4.23

1,000+ 개의 평점

🌀 Fractal Geometry 🦋 Chaos Theory 🕸️ Complex Systems 📏 Scaling Laws 🎲 Stochastic Processes

Practical Statistics for Data Scientists

저자: Peter Bruce • 2020

The statistics data scientists actually use, from EDA to ensembles, with working R and Python code.

4.21

261

📊 Statistical Computing 🔍 Exploratory Data Analysis 📐 Statistical Inference 🔄 Resampling Methods 📈 Regression Modeling

Practical Statistics for Data Scientists

The statistics data scientists actually use, from EDA to ensembles, with working R and Python code.

저자: Peter Bruce 2020 360 페이지

4.21

261 개의 평점

📊 Statistical Computing 🔍 Exploratory Data Analysis 📐 Statistical Inference 🔄 Resampling Methods 📈 Regression Modeling

The Nature of Code

저자: Daniel Shiffman • 2012

Code that breathes: how to build simulations that move, think, and evolve on your screen.

4.57

500+

🎨 Creative Coding 🖼️ Generative Art 🟩 Cellular Automata ❄️ Fractal Geometry 🧬 Genetic Algorithms

The Nature of Code

Code that breathes: how to build simulations that move, think, and evolve on your screen.

저자: Daniel Shiffman 2012 520 페이지

4.57

500+ 개의 평점

🎨 Creative Coding 🖼️ Generative Art 🟩 Cellular Automata ❄️ Fractal Geometry 🧬 Genetic Algorithms

What's Math Got to Do with It?

저자: Jo Boaler • 2008

Why ability grouping and timed tests backfire, and what builds mathematical thinkers instead.

4.28

1,000+

🧮 Math Education 🔍 Inquiry-Based Learning 😟 Math Anxiety 🤝 Collaborative Learning ⚖️ Educational Equity

What's Math Got to Do with It?

Why ability grouping and timed tests backfire, and what builds mathematical thinkers instead.

저자: Jo Boaler 2008 218 페이지

4.28

1,000+ 개의 평점

🧮 Math Education 🔍 Inquiry-Based Learning 😟 Math Anxiety 🤝 Collaborative Learning ⚖️ Educational Equity

Love Triangle

저자: Matt Parker • 2024

Triangles build skyscrapers, animate movies, and decode sound: the shape that runs the world.

3.93

1,000+

Love Triangle

Triangles build skyscrapers, animate movies, and decode sound: the shape that runs the world.

저자: Matt Parker 2024 352 페이지

3.93

1,000+ 개의 평점

El hombre que calculaba

저자: Malba Tahan • 1938

A calculating prodigy arrives in medieval Baghdad and solves puzzles of camels, bread, and love.

4.10

6,000+

🧮 Mathematical Fiction 🕌 Islamic Golden Age 🃏 Wise Fool 🧩 Episodic Puzzles 📜 Philosophical Fable

El hombre que calculaba

A calculating prodigy arrives in medieval Baghdad and solves puzzles of camels, bread, and love.

저자: Malba Tahan 1938 227 페이지

4.10

6,000+ 개의 평점

🧮 Mathematical Fiction 🕌 Islamic Golden Age 🃏 Wise Fool 🧩 Episodic Puzzles 📜 Philosophical Fable

Behind Every Good Decision

저자: 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 📖 Data Literacy 🔧 Everyday Analytics

Behind Every Good Decision

Analytics problems rarely need data scientists. A five-step framework anyone with Excel can use.

저자: Piyanka Jain 2014 248 페이지

3.60

144 개의 평점

📊 Business Analytics 📈 Data-Driven Decisions 🧩 Analytics Frameworks 📖 Data Literacy 🔧 Everyday Analytics

The Biggest Ideas in the Universe

저자: Sean Carroll • 2022

How equations reveal curved spacetime and time's arrow, no physics degree required.

4.00

1,000+

🧠 Theoretical Physics ⚙️ Classical Mechanics 🕳️ General Relativity ⏳ Time And Entropy 🔄 Conservation Laws

The Biggest Ideas in the Universe

How equations reveal curved spacetime and time's arrow, no physics degree required.

저자: Sean Carroll 2022 304 페이지

4.00

1,000+ 개의 평점

🧠 Theoretical Physics ⚙️ Classical Mechanics 🕳️ General Relativity ⏳ Time And Entropy 🔄 Conservation Laws

Data Smart

저자: John W. Foreman • 2013

Real machine learning inside Excel: cluster customers, forecast demand, optimize decisions. No code.

4.12

1,000+

📊 Spreadsheet Modeling 📈 Business Analytics 🤖 Machine Learning For Managers 🧮 Quantitative Decision Making 🔮 Forecasting Methods

Data Smart

Real machine learning inside Excel: cluster customers, forecast demand, optimize decisions. No code.

저자: John W. Foreman 2013 409 페이지

4.12

1,000+ 개의 평점

📊 Spreadsheet Modeling 📈 Business Analytics 🤖 Machine Learning For Managers 🧮 Quantitative Decision Making 🔮 Forecasting Methods

The Fourth Dimension

저자: Rudy Rucker • 1984

The fourth dimension decoded: from Flatland to wormholes, where geometry bends mind and cosmos.

4.14

500+

🧊 Higher Dimensions 🔮 Fourth Dimension ⏳ Spacetime Geometry 🪐 Geometry Of Space 🪞 Dimensional Analogy

The Fourth Dimension

The fourth dimension decoded: from Flatland to wormholes, where geometry bends mind and cosmos.

저자: Rudy Rucker 1984 228 페이지

4.14

500+ 개의 평점

🧊 Higher Dimensions 🔮 Fourth Dimension ⏳ Spacetime Geometry 🪐 Geometry Of Space 🪞 Dimensional Analogy

How to Measure Anything in Cybersecurity Risk

저자: Douglas W. Hubbard • 2016

Cybersecurity swears its risks defy measurement. A quantitative toolkit that says otherwise.

4.06

381

🔐 Cybersecurity Risk 📊 Quantitative Risk Analysis 🧠 Decision Science 🤔 Cognitive Biases 📈 Risk Modeling

How to Measure Anything in Cybersecurity Risk

Cybersecurity swears its risks defy measurement. A quantitative toolkit that says otherwise.

저자: Douglas W. Hubbard 2016 342 페이지

4.06

381 개의 평점

🔐 Cybersecurity Risk 📊 Quantitative Risk Analysis 🧠 Decision Science 🤔 Cognitive Biases 📈 Risk Modeling

Children Are from Heaven

저자: John Gray • 2000

Reality is fields, not particles, and everyday physics is already completely mapped.

3.89

1,000+

⚛️ Quantum Physics 🌌 Modern Physics 📝 Theoretical Physics 🔬 Particle Physics 💭 Philosophy Of Physics

Children Are from Heaven

Reality is fields, not particles, and everyday physics is already completely mapped.

저자: John Gray 2000 400 페이지

3.89

1,000+ 개의 평점

⚛️ Quantum Physics 🌌 Modern Physics 📝 Theoretical Physics 🔬 Particle Physics 💭 Philosophy Of Physics

Speed Mathematics

저자: Bill Handley • 2003

Calculate faster than a calculator using only a pencil, a circle, and simple subtraction.

3.98

146

🧮 Mental Arithmetic ✂️ Calculation Shortcuts ⚡ Rapid Calculation 🧠 Memory Systems 🛒 Everyday Mathematics

Speed Mathematics

Calculate faster than a calculator using only a pencil, a circle, and simple subtraction.

저자: Bill Handley 2003 320 페이지

3.98

146 개의 평점

🧮 Mental Arithmetic ✂️ Calculation Shortcuts ⚡ Rapid Calculation 🧠 Memory Systems 🛒 Everyday Mathematics

Python for Finance

저자: Yves Hilpisch • 2012

Python's finance stack: vectorized data, Monte Carlo methods, deploying models from Excel to web.

3.80

249

📊 Quantitative Finance 🔢 Financial Modeling 🎲 Monte Carlo Simulation 💻 Computational Finance 🐍 Python Ecosystem

Python for Finance

Python's finance stack: vectorized data, Monte Carlo methods, deploying models from Excel to web.

저자: Yves Hilpisch 2012 603 페이지

3.80

249 개의 평점

📊 Quantitative Finance 🔢 Financial Modeling 🎲 Monte Carlo Simulation 💻 Computational Finance 🐍 Python Ecosystem

Why Does the World Exist?

저자: Jim Holt • 2011

Physics, philosophy, and theology each claim to know why anything exists. None of them agree.

3.81

6,000+

❓ Existential Questions 🕳️ Nothingness 🔭 Cosmology 🧠 Analytic Philosophy 🎯 Anthropic Principle

Why Does the World Exist?

Physics, philosophy, and theology each claim to know why anything exists. None of them agree.

저자: Jim Holt 2011 316 페이지

3.81

6,000+ 개의 평점

❓ Existential Questions 🕳️ Nothingness 🔭 Cosmology 🧠 Analytic Philosophy 🎯 Anthropic Principle

Predictive Analytics

저자: Eric Siegel • 2013

Companies know whether you'll leave, buy, or default before you've decided. Here's how.

3.66

2,000+

📊 Data Science 🔮 Predictive Analytics 📈 Big Data 🤖 Machine Learning 🧠 Behavioral Prediction

Predictive Analytics

Companies know whether you'll leave, buy, or default before you've decided. Here's how.

저자: Eric Siegel 2013 368 페이지

3.66

2,000+ 개의 평점

📊 Data Science 🔮 Predictive Analytics 📈 Big Data 🤖 Machine Learning 🧠 Behavioral Prediction

Calculated Risks

저자: Gerd Gigerenzer • 2002

How to tell when a percentage misleads you, and the reframing that reveals the truth.

3.96

500+

📊 Statistical Literacy ⚠️ Risk Communication 🧠 Cognitive Biases 🩺 Medical Decision Making 🎲 Bayesian Reasoning

Calculated Risks

How to tell when a percentage misleads you, and the reframing that reveals the truth.

저자: Gerd Gigerenzer 2002 322 페이지

3.96

500+ 개의 평점

📊 Statistical Literacy ⚠️ Risk Communication 🧠 Cognitive Biases 🩺 Medical Decision Making 🎲 Bayesian Reasoning

Men of Mathematics

저자: Eric Temple Bell • 1937

From Descartes to Cantor, the story of mathematics is one of obsession and early graves.

4.10

2,000+

📐 History Of Mathematics 📖 Mathematical Biography 🧮 Popular Mathematics 🧠 Scientific Genius 🎭 Drama Of Discovery

Men of Mathematics

From Descartes to Cantor, the story of mathematics is one of obsession and early graves.

저자: Eric Temple Bell 1937 590 페이지

4.10

2,000+ 개의 평점

📐 History Of Mathematics 📖 Mathematical Biography 🧮 Popular Mathematics 🧠 Scientific Genius 🎭 Drama Of Discovery

Quantum Computing for Everyone

저자: Chris Bernhardt • 2019

A guide that starts with a single qubit and ends with breaking RSA encryption.

4.06

500+

🧑‍💻 Quantum Computing ⚛️ Quantum Mechanics 🤖 Quantum Algorithms 🔐 Cryptography 🕸️ Entanglement

Quantum Computing for Everyone

A guide that starts with a single qubit and ends with breaking RSA encryption.

저자: Chris Bernhardt 2019 216 페이지

4.06

500+ 개의 평점

🧑‍💻 Quantum Computing ⚛️ Quantum Mechanics 🤖 Quantum Algorithms 🔐 Cryptography 🕸️ Entanglement

Lost in Math

저자: Sabine Hossenfelder • 2018

Theoretical physics is stuck. The culprit isn't bad math, but a fixation on elegant theories.

4.05

3,000+

⚛️ Theoretical Physics 🤔 Philosophy Of Physics 🎨 Aesthetic Bias In Science 🧑‍🔬 Sociology Of Science 🔬 Metascience

Lost in Math

Theoretical physics is stuck. The culprit isn't bad math, but a fixation on elegant theories.

저자: Sabine Hossenfelder 2018 291 페이지

4.05

3,000+ 개의 평점

⚛️ Theoretical Physics 🤔 Philosophy Of Physics 🎨 Aesthetic Bias In Science 🧑‍🔬 Sociology Of Science 🔬 Metascience

Ubiquity

저자: Mark Buchanan • 2000

One grain of sand explains why markets crash, species vanish, and empires fall.

3.90

500+

🧬 Complexity Science 🔗 Systems Theory 📊 Power Laws 📈 Fat Tails ⚡ Nonlinear Dynamics

Ubiquity

One grain of sand explains why markets crash, species vanish, and empires fall.

저자: Mark Buchanan 2000 288 페이지

3.90

500+ 개의 평점

🧬 Complexity Science 🔗 Systems Theory 📊 Power Laws 📈 Fat Tails ⚡ Nonlinear Dynamics

Practical Time Series Analysis

저자: Aileen Nielsen • 2019

When ARIMA beats deep learning, and when it doesn't: the pipeline from cleaning to prediction.

3.77

📈 Time Series Analysis 🔧 Feature Engineering 🧹 Data Preparation ⚙️ Machine Learning Pipelines 📊 Statistical Learning

Practical Time Series Analysis

When ARIMA beats deep learning, and when it doesn't: the pipeline from cleaning to prediction.

저자: Aileen Nielsen 2019 497 페이지

3.77

64 개의 평점

📈 Time Series Analysis 🔧 Feature Engineering 🧹 Data Preparation ⚙️ Machine Learning Pipelines 📊 Statistical Learning

Rock Breaks Scissors

저자: William Poundstone • 2014

Why you can outguess anyone: the predictable mistakes we make when we try to be random.

3.50

500+

📈 Behavioral Economics 🧩 Cognitive Biases 🔍 Pattern Recognition 🎲 Applied Probability 📝 Test-Taking Strategies

Rock Breaks Scissors

Why you can outguess anyone: the predictable mistakes we make when we try to be random.

저자: William Poundstone 2014 320 페이지

3.50

500+ 개의 평점

📈 Behavioral Economics 🧩 Cognitive Biases 🔍 Pattern Recognition 🎲 Applied Probability 📝 Test-Taking Strategies

The Little Book of Deep Learning

저자: François Fleuret • 2023

The machinery of deep learning, compressed: gradient descent, backprop, and attention.

4.32

151

🧠 Deep Learning 🔧 Model Architectures ⚡ Hardware Acceleration 📚 Supervised Learning 🎨 Generative Models

The Little Book of Deep Learning

The machinery of deep learning, compressed: gradient descent, backprop, and attention.

저자: François Fleuret 2023 168 페이지

4.32

151 개의 평점

🧠 Deep Learning 🔧 Model Architectures ⚡ Hardware Acceleration 📚 Supervised Learning 🎨 Generative Models

SPSS Survival Manual

저자: Julie Pallant • 2001

Your SPSS survival guide: plain-English steps from data entry to ANOVA, no stats panic required.

4.11

372

💻 Statistical Software 📋 Research Methods 📏 Scale Development 📈 Regression Analysis 🧩 Factor Analysis

SPSS Survival Manual

Your SPSS survival guide: plain-English steps from data entry to ANOVA, no stats panic required.

저자: Julie Pallant 2001 352 페이지

4.11

372 개의 평점

💻 Statistical Software 📋 Research Methods 📏 Scale Development 📈 Regression Analysis 🧩 Factor Analysis

On the Origin of Time

저자: Thomas Hertog • 2023

The universe has no single origin story. Hawking's last theory: our questions shape the cosmic past.

4.06

2,000+

🔭 Physical Cosmology 🧮 Theoretical Physics ⚛️ Quantum Cosmology 🪞 Holographic Principle 🎯 Fine-Tuning Problem

On the Origin of Time

The universe has no single origin story. Hawking's last theory: our questions shape the cosmic past.

저자: Thomas Hertog 2023 352 페이지

4.06

2,000+ 개의 평점

🔭 Physical Cosmology 🧮 Theoretical Physics ⚛️ Quantum Cosmology 🪞 Holographic Principle 🎯 Fine-Tuning Problem

Weaponized Lies

저자: Daniel J. Levitin • 2016

A neuroscientist teaches you to see past statistical tricks, misleading graphs, and false expertise.

3.76

4,000+

🧠 Critical Thinking 📰 Information Literacy 🧩 Cognitive Biases 🗣️ Logical Fallacies 📊 Bayesian Reasoning

Weaponized Lies

A neuroscientist teaches you to see past statistical tricks, misleading graphs, and false expertise.

저자: Daniel J. Levitin 2016 320 페이지

3.76

4,000+ 개의 평점

🧠 Critical Thinking 📰 Information Literacy 🧩 Cognitive Biases 🗣️ Logical Fallacies 📊 Bayesian Reasoning

Fermat's Enigma

저자: Simon Singh • 1998

150 years, countless geniuses, one unproven hunch about primes, and a million dollars waiting.

4.3

33,000+

🔢 Prime Numbers 📜 History Of Mathematics ❓ Unsolved Problems 🏔️ Mathematical Quests 🔐 Cryptography

Fermat's Enigma

150 years, countless geniuses, one unproven hunch about primes, and a million dollars waiting.

저자: Simon Singh 1998 315 페이지

4.3

33,000+ 개의 평점

🔢 Prime Numbers 📜 History Of Mathematics ❓ Unsolved Problems 🏔️ Mathematical Quests 🔐 Cryptography

Math-ish

저자: Jo Boaler • 2024

The brain uses five pathways for math. Schools teach to one, and millions walk away.

4.23

500+

🧮 Math Education 🌱 Growth Mindset 🔢 Number Sense 👁️ Visual Thinking 📊 Data Literacy

Math-ish

The brain uses five pathways for math. Schools teach to one, and millions walk away.

저자: Jo Boaler 2024 304 페이지

4.23

500+ 개의 평점

🧮 Math Education 🌱 Growth Mindset 🔢 Number Sense 👁️ Visual Thinking 📊 Data Literacy

The Data Detective

저자: Tim Harford • 2020

Your emotions react to statistics before your brain does. Ten rules for getting the numbers right.

4.12

8,000+

🧮 Statistical Literacy 🔍 Data Skepticism 🧠 Motivated Reasoning 📊 Data Visualization 🤖 Algorithmic Accountability

The Data Detective

Your emotions react to statistics before your brain does. Ten rules for getting the numbers right.

저자: Tim Harford 2020 334 페이지

4.12

8,000+ 개의 평점

🧮 Statistical Literacy 🔍 Data Skepticism 🧠 Motivated Reasoning 📊 Data Visualization 🤖 Algorithmic Accountability

The Joy of Game Theory

저자: Presh Talwalkar • 2013

A concise playbook of strategic thinking: spot the hidden games, then learn to win them.

3.94

500+

🎲 Game Theory 🧠 Strategic Thinking 🔢 Decision Theory 🤝 Coordination Problems 🗳️ Voting Theory

The Joy of Game Theory

A concise playbook of strategic thinking: spot the hidden games, then learn to win them.

저자: Presh Talwalkar 2013 155 페이지

3.94

500+ 개의 평점

🎲 Game Theory 🧠 Strategic Thinking 🔢 Decision Theory 🤝 Coordination Problems 🗳️ Voting Theory

Isaac Newton

저자: James Gleick • 2003

His solitary, obsessive mind decoded the cosmos, while his secret alchemy and heresy stayed hidden.

3.79

9,000+

🔭 History Of Science ⚛️ History Of Physics 📚 Intellectual Biography 🏔️ Solitude And Creativity 🔬 Empirical Method

Isaac Newton

His solitary, obsessive mind decoded the cosmos, while his secret alchemy and heresy stayed hidden.

저자: James Gleick 2003 272 페이지

3.79

9,000+ 개의 평점

🔭 History Of Science ⚛️ History Of Physics 📚 Intellectual Biography 🏔️ Solitude And Creativity 🔬 Empirical Method

The Quants

저자: Scott Patterson • 2010

In August 2007, models designed for once-in-ten-millennia failures broke three days running.

3.89

9,000+

🧮 Quantitative Finance 🏦 Wall Street History 💰 Hedge Funds 📊 Financial Modeling 🔧 Financial Engineering

The Quants

In August 2007, models designed for once-in-ten-millennia failures broke three days running.

저자: Scott Patterson 2010 352 페이지

3.89

9,000+ 개의 평점

🧮 Quantitative Finance 🏦 Wall Street History 💰 Hedge Funds 📊 Financial Modeling 🔧 Financial Engineering

Capital Ideas

저자: Peter L. Bernstein • 1991

How a handful of academics with no money and little respect rebuilt the financial world.

3.99

500+

📈 Financial Economics 📜 History Of Finance 🧱 Portfolio Theory ⚖️ Risk Management 🤖 Quantitative Investing

Capital Ideas

How a handful of academics with no money and little respect rebuilt the financial world.

저자: Peter L. Bernstein 1991 368 페이지

3.99

500+ 개의 평점

📈 Financial Economics 📜 History Of Finance 🧱 Portfolio Theory ⚖️ Risk Management 🤖 Quantitative Investing

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