数学

数学は市場の動向から自然現象まで、あらゆるものに対する私たちの理解を形作り、混沌の中に隠されたパターンや複雑さの中に実用的な解決策を明らかにします。これらの書籍は、私たちの世界を支配する数字の背後にある優雅な原理と魅力的な物語を照らし出し、数学的概念を日常生活にとって身近で意義あるものにしてくれます。

数学本の要約

The Tiger That Isn't

著： Michael Blastland • 2007

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

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🧮 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.

著： Michael Blastland 2007 184 ページ

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

Sports Analytics

著： Benjamin C. Alamar • 2013

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

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📊 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.

著： Benjamin C. Alamar 2013 150 ページ

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

Once Upon an Algorithm

著： Martin Erwig • 2017

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

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🧠 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.

著： Martin Erwig 2017 336 ページ

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

Fundamentals of Digital Image Processing

著： Anil K. Jain • 1988

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

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🖼️ 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.

著： Anil K. Jain 1988 569 ページ

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

The Book of Why

著： Judea Pearl • 2018

Data can't tell you why. A mathematical science of cause and effect finally can.

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🏹 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.

著： Judea Pearl 2018 432 ページ

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🏹 Causal Inference 🕸️ Graphical Models 🔄 Counterfactuals 📉 Limits Of Correlation 🔬 Philosophy Of Science

Machine Learning for Dummies

著： John Paul Mueller • 2016

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

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🧠 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.

著： John Paul Mueller 2016 410 ページ

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139 件の評価

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

Street-Fighting Mathematics

著： Sanjoy Mahajan • 2010

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

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✏️ 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.

著： Sanjoy Mahajan 2010 152 ページ

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236 件の評価

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

This Explains Everything

著： John Brockman • 2013

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

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📚 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.

著： John Brockman 2013 411 ページ

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

The Flaw of Averages

著： Sam L. Savage • 2009

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

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🧠 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.

著： Sam L. Savage 2009 416 ページ

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

How Data Happened

著： Chris Wiggins • 2023

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

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🧮 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.

著： Chris Wiggins 2023 384 ページ

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

Can You Solve My Problems?

著： Alex Bellos • 2016

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

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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.

著： Alex Bellos 2016

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387 件の評価

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

The Universe and the Teacup

著： K.C. Cole • 1998

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

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The Universe and the Teacup

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

著： K.C. Cole 1998 214 ページ

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Structural Analysis

著： Russell C. Hibbeler • 1982

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

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🏗️ 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.

著： Russell C. Hibbeler 1982 640 ページ

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424 件の評価

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

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

著： Arun Sharma • 2012

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

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🧮 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.

著： Arun Sharma 2012 2225 ページ

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288 件の評価

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

Computational Thinking

著： Peter J. Denning • 2019

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

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💭 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.

著： Peter J. Denning 2019 246 ページ

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

Keeping Up with the Quants

著： Thomas H. Davenport • 2013

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

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🏢 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.

著： Thomas H. Davenport 2013 229 ページ

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

Python for Geeks

著： Muhammad Asif • 2021

Machine learning from notebook to production: Python libraries, data prep, and deployment paths.

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🐍 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.

著： Muhammad Asif 2021 546 ページ

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8 件の評価

🐍 Python Programming ⚙️ Machine Learning Engineering 📊 Data Science 🚀 Production Deployment ☁️ Serverless Computing

Machine Learning with R

著： Brett Lantz • 2015

Build the algorithms that catch spam, flag fraud, and recommend products: a hands-on guide in R.

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💻 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.

著： Brett Lantz 2015 375 ページ

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💻 R Language 🤖 Machine Learning 📈 Predictive Modeling 🏷️ Supervised Learning 📊 Classification Algorithms

The Power of Vedic Maths

著： Atul Gupta • 2013

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

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🧮 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.

著： Atul Gupta 2013 176 ページ

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157 件の評価

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

Quantum Mechanics

著： Leonard Susskind • 2014

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

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🧪 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.

著： Leonard Susskind 2014 364 ページ

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

Neural Networks, Fuzzy Logic And Genetic Algorithms

著： S. Rajasekaran • 2004

Soft computing's three pillars each have blind spots. This is how they fill each other's gaps.

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🖥️ 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.

著： S. Rajasekaran 2004 627 ページ

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151 件の評価

🖥️ Soft Computing 🧠 Neural Networks 🌫️ Fuzzy Logic 🧬 Genetic Algorithms 🤖 Machine Learning

Math for Mystics

著： Renna Shesso • 2007

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

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📐 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.

著： Renna Shesso 2007 224 ページ

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145 件の評価

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

Schrödinger's Kittens and the Search for Reality

著： John Gribbin • 1996

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

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🧪 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.

著： John Gribbin 1996 261 ページ

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

An Introduction to Decision Theory

著： Martin Peterson • 2009

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

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🧠 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.

著： Martin Peterson 2009 328 ページ

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

The God Particle

著： Leon M. Lederman • 1993

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

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⚛️ 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.

著： Leon M. Lederman 1993 448 ページ

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

A Mathematician Reads the Newspaper

著： John Allen Paulos • 1997

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

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A Mathematician Reads the Newspaper

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

著： John Allen Paulos 1997 224 ページ

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1,000+ 件の評価

The Theory That Would Not Die

著： Sharon Bertsch McGrayne • 2011

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

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🧮 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.

著： Sharon Bertsch McGrayne 2011 336 ページ

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2,000+ 件の評価

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

Ada's Algorithm

著： James Essinger • 2013

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

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🖥️ 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.

著： James Essinger 2013 256 ページ

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

Introduction To Machine Learning

著： Ethem Alpaydin • 2004

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

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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.

著： Ethem Alpaydin 2004 415 ページ

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251 件の評価

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

Choice Theory

著： Michael Allingham • 2002

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

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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.

著： Michael Allingham 2002 144 ページ

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234 件の評価

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

Rock, Paper, Scissors

著： Len Fisher • 2000

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

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🎲 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.

著： Len Fisher 2000 288 ページ

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1,000+ 件の評価

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

Math for Grownups

著： 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.

著： Laura Laing 2011 256 ページ

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149 件の評価

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

The Girl With a Mind for Math

著： Julia Finley Mosca • 2018

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

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🔍 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.

著： Julia Finley Mosca 2018 40 ページ

4.41

500+ 件の評価

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

Introduction to Real Analysis

著： Robert G. Bartle • 1982

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

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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.

著： Robert G. Bartle 1982 400 ページ

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311 件の評価

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

Q is for Quantum

著： Terry Rudolph • 2017

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

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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.

著： Terry Rudolph 2017 166 ページ

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222 件の評価

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

Trading Options Greeks

著： 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.

著： Dan Passarelli 2012 372 ページ

4.28

158 件の評価

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

Maths Doesn't Suck

著： Danica McKellar • 2007

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

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🧮 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.

著： Danica McKellar 2007 320 ページ

4.18

1,000+ 件の評価

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

Volatility Trading, + website

著： 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.

著： Euan Sinclair 2008 224 ページ

4.24

199 件の評価

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

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

著： 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.

著： Anthony Metivier 2014 121 ページ

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117 件の評価

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

Alex's Adventures in Numberland

著： Alex Bellos • 2010

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

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Alex's Adventures in Numberland

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

著： Alex Bellos 2010 448 ページ

4.12

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A Beautiful Question

著： Frank Wilczek • 2015

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

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🧠 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.

著： Frank Wilczek 2015 448 ページ

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

Inside the Black Box

著： 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.

著： Rishi K. Narang 2009 336 ページ

3.81

188 件の評価

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

The Science of Algorithmic Trading and Portfolio Management

著： 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.

著： Robert Kissell 2013 496 ページ

3.76

25 件の評価

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

The Idea Factory

著： 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.

著： Pepper White 1991 328 ページ

3.85

255 件の評価

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

The Dancing Universe

著： Marcelo Gleiser • 1997

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

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🏛️ 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.

著： Marcelo Gleiser 1997 352 ページ

4.22

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

Arithmetic

著： 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.

著： Paul Lockhart 2017 224 ページ

3.92

236 件の評価

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

Guesstimation

著： 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.

著： Lawrence Weinstein 2008 301 ページ

3.75

432 件の評価

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

This Idea Is Brilliant

著： 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.

著： John Brockman 2018 515 ページ

3.83

500+ 件の評価

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

A Common-Sense Guide to Data Structures and Algorithms

著： 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.

著： Jay Wengrow 2017 222 ページ

4.39

500+ 件の評価

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

In Search of the Multiverse

著： 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.

著： John Gribbin 2009 250 ページ

4.08

1,000+ 件の評価

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

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数学

数学 本の要約

数学本の要約