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

The Tiger That Isn't

저자: Michael Blastland • 2007

A 40% increase sounds alarming. Should it? The simple questions that make numbers tell the truth.

3.91

500+

🧮 Statistical Literacy 🔍 Data Skepticism ⚠️ Risk Assessment 📏 Metric Fixation 🧠 Cognitive Biases

The Tiger That Isn't

A 40% increase sounds alarming. Should it? The simple questions that make numbers tell the truth.

저자: Michael Blastland 2007 184 페이지

3.91

500+ 개의 평점

🧮 Statistical Literacy 🔍 Data Skepticism ⚠️ Risk Assessment 📏 Metric Fixation 🧠 Cognitive Biases

Sports Analytics

저자: Benjamin C. Alamar • 2013

The playbook for installing analytics inside a sports organization, from data to decision.

3.51

130

📊 Sports Analytics 📈 Data Analytics 🗄️ Data Management 🔮 Predictive Modeling 📏 Performance Metrics

Sports Analytics

The playbook for installing analytics inside a sports organization, from data to decision.

저자: Benjamin C. Alamar 2013 150 페이지

3.51

130 개의 평점

📊 Sports Analytics 📈 Data Analytics 🗄️ Data Management 🔮 Predictive Modeling 📏 Performance Metrics

Once Upon an Algorithm

저자: 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 🔓 Accessible Algorithms 🗄️ Data Structures

Once Upon an Algorithm

What Hansel and Gretel, Sherlock Holmes, and Groundhog Day can teach you about algorithms.

저자: Martin Erwig 2017 336 페이지

3.63

265 개의 평점

🧠 Computational Thinking 📐 Algorithm Design 📖 Story-Driven Education 🔓 Accessible Algorithms 🗄️ Data Structures

Fundamentals of Digital Image Processing

저자: Anil K. Jain • 1988

From pixel to picture: the math that samples, restores, compresses, and reconstructs digital images.

3.98

145

🖼️ Image Processing 📡 Signal Processing 〰️ Fourier Analysis 🗜️ Data Compression 🏥 Medical Imaging

Fundamentals of Digital Image Processing

From pixel to picture: the math that samples, restores, compresses, and reconstructs digital images.

저자: Anil K. Jain 1988 569 페이지

3.98

145 개의 평점

🖼️ Image Processing 📡 Signal Processing 〰️ Fourier Analysis 🗜️ Data Compression 🏥 Medical Imaging

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

Machine Learning for Dummies

저자: John Paul Mueller • 2016

Machine learning demystified: pick the right algorithm, train it well, and know when it works.

3.53

139

🧠 Machine Learning Basics 📊 Data Science Basics 🏷️ Supervised Learning 📈 Statistical Learning 🔮 Predictive Modeling

Machine Learning for Dummies

Machine learning demystified: pick the right algorithm, train it well, and know when it works.

저자: John Paul Mueller 2016 410 페이지

3.53

139 개의 평점

🧠 Machine Learning Basics 📊 Data Science Basics 🏷️ Supervised Learning 📈 Statistical Learning 🔮 Predictive Modeling

Street-Fighting Mathematics

저자: Sanjoy Mahajan • 2010

A toolkit for rough-and-ready problem solving: estimate with units, symmetry, and clever shortcuts.

3.74

236

✏️ Back-Of-The-Envelope 📏 Dimensional Analysis 💡 Heuristic Reasoning 🔬 Physical Intuition 🧮 Mathematical Modeling

Street-Fighting Mathematics

A toolkit for rough-and-ready problem solving: estimate with units, symmetry, and clever shortcuts.

저자: Sanjoy Mahajan 2010 152 페이지

3.74

236 개의 평점

✏️ Back-Of-The-Envelope 📏 Dimensional Analysis 💡 Heuristic Reasoning 🔬 Physical Intuition 🧮 Mathematical Modeling

This Explains Everything

저자: John Brockman • 2013

One question, 150 scientists: name the elegant idea that makes the most sense of everything.

3.66

2,000+

📚 Science Anthologies 🧬 Evolutionary Biology 🧠 Cognitive Biases ⚛️ Quantum Mechanics 🦋 Emergent Complexity

This Explains Everything

One question, 150 scientists: name the elegant idea that makes the most sense of everything.

저자: John Brockman 2013 411 페이지

3.66

2,000+ 개의 평점

📚 Science Anthologies 🧬 Evolutionary Biology 🧠 Cognitive Biases ⚛️ Quantum Mechanics 🦋 Emergent Complexity

The Flaw of Averages

저자: Sam L. Savage • 2009

A single average can sink your plan. The missing skill: thinking in distributions.

3.86

500+

🧠 Decision Science 🎲 Probabilistic Thinking ⚠️ Risk Management 🧩 Cognitive Biases 🎰 Monte Carlo Methods

The Flaw of Averages

A single average can sink your plan. The missing skill: thinking in distributions.

저자: Sam L. Savage 2009 416 페이지

3.86

500+ 개의 평점

🧠 Decision Science 🎲 Probabilistic Thinking ⚠️ Risk Management 🧩 Cognitive Biases 🎰 Monte Carlo Methods

How Data Happened

저자: 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 👁️ Surveillance Capitalism 📊 Algorithmic Bias

How Data Happened

Data was never neutral. How statistics went from serving kings to fueling the attention economy.

저자: Chris Wiggins 2023 384 페이지

3.54

467 개의 평점

🧮 History Of Statistics 🏛️ Data And Society ⚖️ Data Ethics 👁️ Surveillance Capitalism 📊 Algorithmic Bias

Can You Solve My Problems?

저자: Alex Bellos • 2016

A wolf, a goat, a cabbage, and the puzzles that teach you to think in proofs.

4.03

387

🧩 Recreational Mathematics 📚 Puzzle Collections 🧠 Mathematical Thinking 💡 Lateral Thinking 🤔 Brain Teasers

Can You Solve My Problems?

A wolf, a goat, a cabbage, and the puzzles that teach you to think in proofs.

저자: Alex Bellos 2016

4.03

387 개의 평점

🧩 Recreational Mathematics 📚 Puzzle Collections 🧠 Mathematical Thinking 💡 Lateral Thinking 🤔 Brain Teasers

The Universe and the Teacup

저자: K.C. Cole • 1998

Your gut is wrong about fairness, risk, and scale. Mathematics proves it, elegantly.

3.78

500+

The Universe and the Teacup

Your gut is wrong about fairness, risk, and scale. Mathematics proves it, elegantly.

저자: K.C. Cole 1998 214 페이지

3.78

500+ 개의 평점

Structural Analysis

저자: Russell C. Hibbeler • 1982

Trusses, beams, and frames: how to find every force and deflection inside them before they're built.

4.10

424

🏗️ Structural Analysis 🏛️ Civil Engineering 💻 Matrix Methods 📐 Displacement Methods 🔗 Indeterminate Structures

Structural Analysis

Trusses, beams, and frames: how to find every force and deflection inside them before they're built.

저자: Russell C. Hibbeler 1982 640 페이지

4.10

424 개의 평점

🏗️ Structural Analysis 🏛️ Civil Engineering 💻 Matrix Methods 📐 Displacement Methods 🔗 Indeterminate Structures

How to Prepare for Quantitative Aptitude for the CAT Common Admission Test

저자: Arun Sharma • 2012

Six blocks to CAT quant mastery: why addition, not algebra, is the real differentiator.

4.22

288

🧮 Quantitative Aptitude 🎓 MBA Entrance Exams ⚡ Speed Math 🧩 Problem Solving 📝 Test-Taking Strategies

How to Prepare for Quantitative Aptitude for the CAT Common Admission Test

Six blocks to CAT quant mastery: why addition, not algebra, is the real differentiator.

저자: Arun Sharma 2012 2225 페이지

4.22

288 개의 평점

🧮 Quantitative Aptitude 🎓 MBA Entrance Exams ⚡ Speed Math 🧩 Problem Solving 📝 Test-Taking Strategies

Computational Thinking

저자: 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 ⚙️ Software Engineering 🧠 Algorithmic Thinking

Computational Thinking

It is a 4,500-year-old practice that built modern science, yet most confuse it with just coding.

저자: Peter J. Denning 2019 246 페이지

3.63

304 개의 평점

💭 Computational Thinking 🕰️ History Of Computing 🎨 Design Thinking ⚙️ Software Engineering 🧠 Algorithmic Thinking

Keeping Up with the Quants

저자: Thomas H. Davenport • 2013

You hired the quants. Now learn the questions that turn their numbers into decisions.

3.57

500+

🏢 Data-Driven Management 📊 Business Analytics 🧮 Quantitative Thinking 📖 Data Storytelling 📋 Evidence-Based Management

Keeping Up with the Quants

You hired the quants. Now learn the questions that turn their numbers into decisions.

저자: Thomas H. Davenport 2013 229 페이지

3.57

500+ 개의 평점

🏢 Data-Driven Management 📊 Business Analytics 🧮 Quantitative Thinking 📖 Data Storytelling 📋 Evidence-Based Management

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

The Power of Vedic Maths

저자: Atul Gupta • 2013

Sixteen ancient formulas that turn mental math into a reflex, even for squares and roots.

4.05

157

🧮 Mental Math 🕉️ Vedic Math 🇮🇳 Indian Mathematics 📝 Exam Preparation 📚 Study Skills

The Power of Vedic Maths

Sixteen ancient formulas that turn mental math into a reflex, even for squares and roots.

저자: Atul Gupta 2013 176 페이지

4.05

157 개의 평점

🧮 Mental Math 🕉️ Vedic Math 🇮🇳 Indian Mathematics 📝 Exam Preparation 📚 Study Skills

Quantum Mechanics

저자: Leonard Susskind • 2014

The physics degree you never got: quantum states as vectors, and the math that replaces intuition.

4.33

2,000+

🧪 Quantum Mechanics 📐 Mathematical Physics ⚛️ Theoretical Physics 🧮 Linear Algebra ➗ Operator Theory

Quantum Mechanics

The physics degree you never got: quantum states as vectors, and the math that replaces intuition.

저자: Leonard Susskind 2014 364 페이지

4.33

2,000+ 개의 평점

🧪 Quantum Mechanics 📐 Mathematical Physics ⚛️ Theoretical Physics 🧮 Linear Algebra ➗ Operator Theory

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

Math for Mystics

저자: Renna Shesso • 2007

The ancient math that cast spells and built temples, retooled for modern intuition and ritual.

3.68

145

📐 Sacred Geometry 🔢 Number Mysticism 🌀 Esoteric Math 🌻 Golden Ratio 🌙 Lunar Magic

Math for Mystics

The ancient math that cast spells and built temples, retooled for modern intuition and ritual.

저자: Renna Shesso 2007 224 페이지

3.68

145 개의 평점

📐 Sacred Geometry 🔢 Number Mysticism 🌀 Esoteric Math 🌻 Golden Ratio 🌙 Lunar Magic

Schrödinger's Kittens and the Search for Reality

저자: John Gribbin • 1996

Quantum paradoxes resolve when you realize particles don't experience time the way we do.

4.07

1,000+

🧪 Quantum Mechanics 🔬 Theoretical Physics 🔮 Quantum Interpretations 🔗 Quantum Entanglement 🤔 Philosophy Of Science

Schrödinger's Kittens and the Search for Reality

Quantum paradoxes resolve when you realize particles don't experience time the way we do.

저자: John Gribbin 1996 261 페이지

4.07

1,000+ 개의 평점

🧪 Quantum Mechanics 🔬 Theoretical Physics 🔮 Quantum Interpretations 🔗 Quantum Entanglement 🤔 Philosophy Of Science

An Introduction to Decision Theory

저자: Martin Peterson • 2009

Probability is a philosophical puzzle; how you define it changes what counts as rational.

3.77

131

🧠 Decision Science ⚖️ Rational Choice Theory 🎲 Philosophy Of Probability ♟️ Game Theory ⚠️ Risk And Uncertainty

An Introduction to Decision Theory

Probability is a philosophical puzzle; how you define it changes what counts as rational.

저자: Martin Peterson 2009 328 페이지

3.77

131 개의 평점

🧠 Decision Science ⚖️ Rational Choice Theory 🎲 Philosophy Of Probability ♟️ Game Theory ⚠️ Risk And Uncertainty

The God Particle

저자: Leon M. Lederman • 1993

All the universe's fundamental pieces are known but one: the particle responsible for mass.

4.15

4,000+

⚛️ Particle Physics 📜 History Of Physics 🌊 Quantum Mechanics 📖 Popular Science 🔍 Scientific Discovery

The God Particle

All the universe's fundamental pieces are known but one: the particle responsible for mass.

저자: Leon M. Lederman 1993 448 페이지

4.15

4,000+ 개의 평점

⚛️ Particle Physics 📜 History Of Physics 🌊 Quantum Mechanics 📖 Popular Science 🔍 Scientific Discovery

A Mathematician Reads the Newspaper

저자: John Allen Paulos • 1997

The morning paper rests on hidden math. A mathematician reveals the numbers that change the story.

3.60

1,000+

A Mathematician Reads the Newspaper

The morning paper rests on hidden math. A mathematician reveals the numbers that change the story.

저자: John Allen Paulos 1997 224 페이지

3.60

1,000+ 개의 평점

The Theory That Would Not Die

저자: Sharon Bertsch McGrayne • 2011

Statisticians said it was dead. Turing used it to crack Enigma. Computers made it unstoppable.

3.77

2,000+

🧮 Bayesian Statistics 📜 History Of Mathematics 🎲 Probability Theory ⚔️ Scientific Controversy 🔐 Codebreaking History

The Theory That Would Not Die

Statisticians said it was dead. Turing used it to crack Enigma. Computers made it unstoppable.

저자: Sharon Bertsch McGrayne 2011 336 페이지

3.77

2,000+ 개의 평점

🧮 Bayesian Statistics 📜 History Of Mathematics 🎲 Probability Theory ⚔️ Scientific Controversy 🔐 Codebreaking History

Ada's Algorithm

저자: James Essinger • 2013

In 1843, Ada Lovelace wrote the first computer program and imagined machines that compose music.

3.27

1,000+

🖥️ Early Computing 🔬 Women In Science 📚 Scientific Biography ⚙️ Victorian Science 🏆 Unsung Pioneers

Ada's Algorithm

In 1843, Ada Lovelace wrote the first computer program and imagined machines that compose music.

저자: James Essinger 2013 256 페이지

3.27

1,000+ 개의 평점

🖥️ Early Computing 🔬 Women In Science 📚 Scientific Biography ⚙️ Victorian Science 🏆 Unsung Pioneers

Introduction To Machine Learning

저자: Ethem Alpaydin • 2004

The mathematical core of machine learning, taught without cutting corners: from Bayes to boosting.

3.78

251

🤖 Machine Learning 📊 Statistical Learning 🏷️ Supervised Learning 🎮 Reinforcement Learning 🎲 Bayesian Inference

Introduction To Machine Learning

The mathematical core of machine learning, taught without cutting corners: from Bayes to boosting.

저자: Ethem Alpaydin 2004 415 페이지

3.78

251 개의 평점

🤖 Machine Learning 📊 Statistical Learning 🏷️ Supervised Learning 🎮 Reinforcement Learning 🎲 Bayesian Inference

Choice Theory

저자: Michael Allingham • 2002

The architecture of rational choice, from menus to elections, and where the logic finally breaks.

2.69

234

🧠 Decision Theory 🤔 Rational Choice 🎲 Game Theory 🎯 Risk And Uncertainty 🗳️ Voting Paradoxes

Choice Theory

The architecture of rational choice, from menus to elections, and where the logic finally breaks.

저자: Michael Allingham 2002 144 페이지

2.69

234 개의 평점

🧠 Decision Theory 🤔 Rational Choice 🎲 Game Theory 🎯 Risk And Uncertainty 🗳️ Voting Paradoxes

Rock, Paper, Scissors

저자: Len Fisher • 2000

The hidden logic traps that sabotage everyday cooperation, and the game theory that outsmarts them.

3.43

1,000+

🎲 Game Theory ⚖️ Social Dilemmas ♟️ Strategic Thinking 🤝 Conflict Resolution 🔄 Cooperation Strategies

Rock, Paper, Scissors

The hidden logic traps that sabotage everyday cooperation, and the game theory that outsmarts them.

저자: Len Fisher 2000 288 페이지

3.43

1,000+ 개의 평점

🎲 Game Theory ⚖️ Social Dilemmas ♟️ Strategic Thinking 🤝 Conflict Resolution 🔄 Cooperation Strategies

Math for Grownups

저자: Laura Laing • 2011

The arithmetic you lost after school, applied to tips, taxes, recipes, and home projects.

3.80

149

🔢 Everyday Math 🧠 Mental Math 😰 Math Anxiety 💰 Financial Literacy 🧮 Adult Numeracy

Math for Grownups

The arithmetic you lost after school, applied to tips, taxes, recipes, and home projects.

저자: Laura Laing 2011 256 페이지

3.80

149 개의 평점

🔢 Everyday Math 🧠 Mental Math 😰 Math Anxiety 💰 Financial Literacy 🧮 Adult Numeracy

The Girl With a Mind for Math

저자: Julia Finley Mosca • 2018

Segregation said she couldn't. The Navy said two months. She designed a ship in 18 hours.

4.41

500+

🔍 Hidden Figures 👩‍🔬 Women In Stem 🚀 Women Pioneers ⚓ Naval History 🏗️ Engineering History

The Girl With a Mind for Math

Segregation said she couldn't. The Navy said two months. She designed a ship in 18 hours.

저자: Julia Finley Mosca 2018 40 페이지

4.41

500+ 개의 평점

🔍 Hidden Figures 👩‍🔬 Women In Stem 🚀 Women Pioneers ⚓ Naval History 🏗️ Engineering History

Introduction to Real Analysis

저자: Robert G. Bartle • 1982

A rigorous foundation in real numbers and limits: the proofs that make calculus unshakeable.

4.00

311

🧮 Real Analysis 📐 Rigorous Calculus 📝 Mathematical Proofs 🔢 Sequences And Series 🌀 Point-Set Topology

Introduction to Real Analysis

A rigorous foundation in real numbers and limits: the proofs that make calculus unshakeable.

저자: Robert G. Bartle 1982 400 페이지

4.00

311 개의 평점

🧮 Real Analysis 📐 Rigorous Calculus 📝 Mathematical Proofs 🔢 Sequences And Series 🌀 Point-Set Topology

Q is for Quantum

저자: Terry Rudolph • 2017

Forget the math: colored balls explain superposition, entanglement, and why quantum computers work.

3.59

222

💻 Quantum Computing 🔬 Popular Physics 🔗 Entanglement 🌐 Nonlocality 🧠 Quantum Foundations

Q is for Quantum

Forget the math: colored balls explain superposition, entanglement, and why quantum computers work.

저자: Terry Rudolph 2017 166 페이지

3.59

222 개의 평점

💻 Quantum Computing 🔬 Popular Physics 🔗 Entanglement 🌐 Nonlocality 🧠 Quantum Foundations

Trading Options Greeks

저자: Dan Passarelli • 2012

Direction alone won't make you money in options. The five risk measures that will.

4.28

158

📈 Options Trading 📊 Financial Derivatives 🌊 Volatility Trading 🧮 Option Pricing Models ⚖️ Position Management

Trading Options Greeks

Direction alone won't make you money in options. The five risk measures that will.

저자: Dan Passarelli 2012 372 페이지

4.28

158 개의 평점

📈 Options Trading 📊 Financial Derivatives 🌊 Volatility Trading 🧮 Option Pricing Models ⚖️ Position Management

Maths Doesn't Suck

저자: Danica McKellar • 2007

Middle school math through pizza, shopping, and straight talk: no genius required.

4.18

1,000+

🧮 Middle School Math 😰 Math Anxiety 🛒 Practical Math 👩‍🔬 Girls In Stem 👧 Tween Girls

Maths Doesn't Suck

Middle school math through pizza, shopping, and straight talk: no genius required.

저자: Danica McKellar 2007 320 페이지

4.18

1,000+ 개의 평점

🧮 Middle School Math 😰 Math Anxiety 🛒 Practical Math 👩‍🔬 Girls In Stem 👧 Tween Girls

Volatility Trading, + website

저자: Euan Sinclair • 2008

Options profit from the size of the move, not direction. How to isolate and trade volatility.

4.24

199

📊 Options Trading 🔢 Quantitative Trading 📈 Volatility Modeling 🧠 Behavioral Finance 💭 Trading Psychology

Volatility Trading, + website

Options profit from the size of the move, not direction. How to isolate and trade volatility.

저자: Euan Sinclair 2008 224 페이지

4.24

199 개의 평점

📊 Options Trading 🔢 Quantitative Trading 📈 Volatility Modeling 🧠 Behavioral Finance 💭 Trading Psychology

How To Learn And Memorize Math, Numbers, Equations, And Simple Arithmetic

저자: Anthony Metivier • 2014

Your memory isn't broken. You just haven't built the mental palace for math yet.

3.28

117

🏰 Memory Palaces 🧠 Memory Improvement 📐 Math Learning 🎨 Associative Imagery 🔊 Phonetic Mnemonics

How To Learn And Memorize Math, Numbers, Equations, And Simple Arithmetic

Your memory isn't broken. You just haven't built the mental palace for math yet.

저자: Anthony Metivier 2014 121 페이지

3.28

117 개의 평점

🏰 Memory Palaces 🧠 Memory Improvement 📐 Math Learning 🎨 Associative Imagery 🔊 Phonetic Mnemonics

Alex's Adventures in Numberland

저자: Alex Bellos • 2010

How counting became civilization's greatest invention, and the puzzling patterns it revealed.

4.12

5,000+

Alex's Adventures in Numberland

How counting became civilization's greatest invention, and the puzzling patterns it revealed.

저자: Alex Bellos 2010 448 페이지

4.12

5,000+ 개의 평점

A Beautiful Question

저자: Frank Wilczek • 2015

From Pythagoras to quantum theory, a Nobel laureate shows beauty was always the compass of physics.

3.87

1,000+

🧠 Theoretical Physics 🔬 Philosophy Of Science 🔄 Symmetry In Nature ✨ Mathematical Beauty 📜 History Of Physics

A Beautiful Question

From Pythagoras to quantum theory, a Nobel laureate shows beauty was always the compass of physics.

저자: Frank Wilczek 2015 448 페이지

3.87

1,000+ 개의 평점

🧠 Theoretical Physics 🔬 Philosophy Of Science 🔄 Symmetry In Nature ✨ Mathematical Beauty 📜 History Of Physics

Inside the Black Box

저자: Rishi K. Narang • 2009

Quant trading isn't opaque. It's a chain of simple models working together. Here's the architecture.

3.81

188

📊 Quantitative Finance 🤖 Algorithmic Trading ⚡ High-Frequency Trading 🛡️ Risk Management 📈 Portfolio Construction

Inside the Black Box

Quant trading isn't opaque. It's a chain of simple models working together. Here's the architecture.

저자: Rishi K. Narang 2009 336 페이지

3.81

188 개의 평점

📊 Quantitative Finance 🤖 Algorithmic Trading ⚡ High-Frequency Trading 🛡️ Risk Management 📈 Portfolio Construction

The Science of Algorithmic Trading and Portfolio Management

저자: Robert Kissell • 2013

Broker trading-cost models are black boxes. The math to build transparent ones yourself.

3.76

🧮 Quantitative Finance 🤖 Algorithmic Trading 📊 Portfolio Management 🔬 Market Microstructure 💸 Transaction Cost Analysis

The Science of Algorithmic Trading and Portfolio Management

Broker trading-cost models are black boxes. The math to build transparent ones yourself.

저자: Robert Kissell 2013 496 페이지

3.76

25 개의 평점

🧮 Quantitative Finance 🤖 Algorithmic Trading 📊 Portfolio Management 🔬 Market Microstructure 💸 Transaction Cost Analysis

The Idea Factory

저자: Pepper White • 1991

MIT: where a valedictorian learns to celebrate a B and survive the pressure without losing himself.

3.85

255

🎓 Grad School 🏛️ Elite Universities 🎭 Imposter Syndrome 📚 Academic Pressure 🔧 Hands-On Learning

The Idea Factory

MIT: where a valedictorian learns to celebrate a B and survive the pressure without losing himself.

저자: Pepper White 1991 328 페이지

3.85

255 개의 평점

🎓 Grad School 🏛️ Elite Universities 🎭 Imposter Syndrome 📚 Academic Pressure 🔧 Hands-On Learning

The Dancing Universe

저자: Marcelo Gleiser • 1997

Creation myths were not wrong turns. They were the first cosmology, and physics is their heir.

4.22

500+

🏛️ History Of Cosmology 📜 Creation Myths 🙏 Science And Religion 💫 Cosmic Origins ✨ Scientific Wonder

The Dancing Universe

Creation myths were not wrong turns. They were the first cosmology, and physics is their heir.

저자: Marcelo Gleiser 1997 352 페이지

4.22

500+ 개의 평점

🏛️ History Of Cosmology 📜 Creation Myths 🙏 Science And Religion 💫 Cosmic Origins ✨ Scientific Wonder

Arithmetic

저자: Paul Lockhart • 2017

Arithmetic is a craft, not a grind. The elegant patterns hiding in every counting system.

3.92

236

🧠 Mathematical Thinking 📜 History Of Math 🔢 Number Representation 🧮 Calculating Devices ✨ Patterns In Numbers

Arithmetic

Arithmetic is a craft, not a grind. The elegant patterns hiding in every counting system.

저자: Paul Lockhart 2017 224 페이지

3.92

236 개의 평점

🧠 Mathematical Thinking 📜 History Of Math 🔢 Number Representation 🧮 Calculating Devices ✨ Patterns In Numbers

Guesstimation

저자: Lawrence Weinstein • 2008

How to answer impossible questions with a napkin, a pen, and a few simple guesses.

3.75

432

📝 Back-Of-The-Envelope Math ⚛️ Everyday Physics 🔢 Quantitative Reasoning 🧩 Problem-Solving Heuristics 🤔 Physical Intuition

Guesstimation

How to answer impossible questions with a napkin, a pen, and a few simple guesses.

저자: Lawrence Weinstein 2008 301 페이지

3.75

432 개의 평점

📝 Back-Of-The-Envelope Math ⚛️ Everyday Physics 🔢 Quantitative Reasoning 🧩 Problem-Solving Heuristics 🤔 Physical Intuition

This Idea Is Brilliant

저자: John Brockman • 2018

The overlooked scientific ideas top minds most urgently want you to know, from entropy to emergence.

3.83

500+

🧠 Third Culture 🔬 Scientific Method 🪞 Cognitive Biases 🧬 Evolutionary Biology 📡 Information Theory

This Idea Is Brilliant

The overlooked scientific ideas top minds most urgently want you to know, from entropy to emergence.

저자: John Brockman 2018 515 페이지

3.83

500+ 개의 평점

🧠 Third Culture 🔬 Scientific Method 🪞 Cognitive Biases 🧬 Evolutionary Biology 📡 Information Theory

A Common-Sense Guide to Data Structures and Algorithms

저자: Jay Wengrow • 2017

The algorithm knowledge that turns working code into fast code, explained without the math degree.

4.39

500+

🧱 Data Structures ⏱️ Algorithm Analysis 🧠 Algorithmic Thinking 🔧 Practical Algorithms ⚡ Performance Optimization

A Common-Sense Guide to Data Structures and Algorithms

The algorithm knowledge that turns working code into fast code, explained without the math degree.

저자: Jay Wengrow 2017 222 페이지

4.39

500+ 개의 평점

🧱 Data Structures ⏱️ Algorithm Analysis 🧠 Algorithmic Thinking 🔧 Practical Algorithms ⚡ Performance Optimization

In Search of the Multiverse

저자: John Gribbin • 2009

Our universe seems fine-tuned for life. The real explanation: it is just one of countless tries.

4.08

1,000+

🔬 Quantum Physics 🌌 Cosmology 🌐 Multiverse Theory 🧐 Anthropic Principle 🧵 String Theory

In Search of the Multiverse

Our universe seems fine-tuned for life. The real explanation: it is just one of countless tries.

저자: John Gribbin 2009 250 페이지

4.08

1,000+ 개의 평점

🔬 Quantum Physics 🌌 Cosmology 🌐 Multiverse Theory 🧐 Anthropic Principle 🧵 String Theory

이전 4 5 6 7 8 다음

Compare Features	Free	Pro
📖 Read Summaries Read unlimited summaries. Free users get 3 per month
🎧 Listen to Summaries Listen to unlimited summaries in 40 languages	—
❤️ Unlimited Bookmarks Free users are limited to 4	—
📜 Unlimited History Free users are limited to 4	—
📥 Unlimited Downloads Free users are limited to 1	—

People love SoBrief

Join our global community of 600,000+ readers

★★★★★

This site is a total game-changer. I've been flying through book summaries like never before. Highly, highly recommend.

— Dave G

Worth my money and time, and really well made. I've never seen this quality of summaries on other websites. Very helpful!

— Em

Highly recommended!! Fantastic service. Perfect for those that want a little more than a teaser but not all the intricate details of a full audio book.

— Greg M