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

PYTHON FOR DATA ANALYSIS

著： Ryshith Doyle • 2019

The systematic NumPy and Pandas walkthrough: import, clean, combine, and analyze data in Python.

3.67

🐍 Python Programming 📊 Data Analysis 🧹 Data Wrangling 🧱 Data Structures 🔢 Numerical Computing

PYTHON FOR DATA ANALYSIS

The systematic NumPy and Pandas walkthrough: import, clean, combine, and analyze data in Python.

著： Ryshith Doyle 2019 60 ページ

3.67

6 件の評価

🐍 Python Programming 📊 Data Analysis 🧹 Data Wrangling 🧱 Data Structures 🔢 Numerical Computing

Visualizing Mathematics with 3D Printing

著： Henry Segerman • 2016

3D printing turns polyhedra, knots, and 4D shadows into hands-on objects you finally grasp.

4.08

🖨️ 3d Printing 🧮 Mathematical Models 🌌 Higher Dimensions 🌀 Hyperbolic Geometry 🪢 Knot Theory

Visualizing Mathematics with 3D Printing

3D printing turns polyhedra, knots, and 4D shadows into hands-on objects you finally grasp.

著： Henry Segerman 2016 200 ページ

4.08

13 件の評価

🖨️ 3d Printing 🧮 Mathematical Models 🌌 Higher Dimensions 🌀 Hyperbolic Geometry 🪢 Knot Theory

The Midrange Theory

著： Seth Partnow • 2021

Analytics was going to kill the eye test. It proved why eyes still matter.

4.09

500+

🏀 Basketball Analytics 💰 Sports Economics 📊 Data-Driven Decisions 📏 Advanced Metrics ⚾ Moneyball

The Midrange Theory

Analytics was going to kill the eye test. It proved why eyes still matter.

著： Seth Partnow 2021 288 ページ

4.09

500+ 件の評価

🏀 Basketball Analytics 💰 Sports Economics 📊 Data-Driven Decisions 📏 Advanced Metrics ⚾ Moneyball

Basketball on Paper

著： Dean Oliver • 2003

Basketball's scoreboard is a liar. Here is what actually decides who wins and who loses.

4.06

467

🏀 Basketball Analytics 📊 Sports Analytics 📈 Performance Metrics 🔢 Statistical Modeling 📋 Data-Driven Coaching

Basketball on Paper

Basketball's scoreboard is a liar. Here is what actually decides who wins and who loses.

著： Dean Oliver 2003 392 ページ

4.06

467 件の評価

🏀 Basketball Analytics 📊 Sports Analytics 📈 Performance Metrics 🔢 Statistical Modeling 📋 Data-Driven Coaching

An Essay on the Psychology of Invention in the Mathematical Field

著： Jacques Hadamard • 1945

Mathematical discovery relies on the unconscious, not logic; beauty picks the winning ideas.

3.97

221

🔢 Mathematical Creativity 🧠 Cognitive Psychology 🌊 Unconscious Processing 👁️ Visual Thinking ✨ Beauty In Mathematics

An Essay on the Psychology of Invention in the Mathematical Field

Mathematical discovery relies on the unconscious, not logic; beauty picks the winning ideas.

著： Jacques Hadamard 1945 162 ページ

3.97

221 件の評価

🔢 Mathematical Creativity 🧠 Cognitive Psychology 🌊 Unconscious Processing 👁️ Visual Thinking ✨ Beauty In Mathematics

Diversity and Complexity

著： Scott E. Page • 2010

Diversity isn't a slogan: it's a measurable property with predictable benefits and knowable limits.

4.12

207

🌀 Complexity Science 🏜️ Santa Fe Institute 🐝 Emergence 🔄 Adaptive Systems 🛡️ System Resilience

Diversity and Complexity

Diversity isn't a slogan: it's a measurable property with predictable benefits and knowable limits.

著： Scott E. Page 2010 304 ページ

4.12

207 件の評価

🌀 Complexity Science 🏜️ Santa Fe Institute 🐝 Emergence 🔄 Adaptive Systems 🛡️ System Resilience

Why Study Mathematics?

著： Vicky Neale • 2020

A math degree opens careers from kidney swaps to climate models. Effort trumps genius every time.

3.97

📐 Applied Mathematics 🧠 Growth Mindset 📊 Data Science ➗ Mathematical Thinking 📖 Popular Mathematics

Why Study Mathematics?

A math degree opens careers from kidney swaps to climate models. Effort trumps genius every time.

著： Vicky Neale 2020 208 ページ

3.97

38 件の評価

📐 Applied Mathematics 🧠 Growth Mindset 📊 Data Science ➗ Mathematical Thinking 📖 Popular Mathematics

Why Data Science Projects Fail

著： Douglas Gray • 2024

Eighty percent of AI projects fail. The models work fine; the people, data, and expectations don't.

5.00

📊 Data Science Management 🤖 Ai Implementation ⚙️ Mlops 🧹 Data Quality 🔧 Data Engineering

Why Data Science Projects Fail

Eighty percent of AI projects fail. The models work fine; the people, data, and expectations don't.

著： Douglas Gray 2024

5.00

19 件の評価

📊 Data Science Management 🤖 Ai Implementation ⚙️ Mlops 🧹 Data Quality 🔧 Data Engineering

Credit Scoring and Its Applications

著： Lyn C. Thomas • 1987

How the algorithms that decide who gets a loan actually work, and how to build them.

3.62

💳 Credit Risk 🏦 Consumer Lending 📊 Statistical Modeling 🔮 Predictive Analytics ⚙️ Operational Research

Credit Scoring and Its Applications

How the algorithms that decide who gets a loan actually work, and how to build them.

著： Lyn C. Thomas 1987 260 ページ

3.62

13 件の評価

💳 Credit Risk 🏦 Consumer Lending 📊 Statistical Modeling 🔮 Predictive Analytics ⚙️ Operational Research

Small Worlds

著： Duncan J. Watts • 1999

A few distant links turn clustered networks into superhighways for disease, ideas, and synchrony.

3.88

🕸️ Network Science 📐 Graph Theory 🔗 Complex Systems 📊 Mathematical Modeling 🌊 Emergent Behavior

Small Worlds

A few distant links turn clustered networks into superhighways for disease, ideas, and synchrony.

著： Duncan J. Watts 1999 280 ページ

3.88

85 件の評価

🕸️ Network Science 📐 Graph Theory 🔗 Complex Systems 📊 Mathematical Modeling 🌊 Emergent Behavior

Senior Secondary School Mathematics For Class - 12

著： R.S. Aggarwal • 2013

Ace Class 12 math: every topic, from relations to calculus, explained with clarity.

3.72

294

📐 Precalculus 📚 High School Math 🔺 Trigonometry 🧮 Matrices 📉 Differential Equations

Senior Secondary School Mathematics For Class - 12

Ace Class 12 math: every topic, from relations to calculus, explained with clarity.

著： R.S. Aggarwal 2013

3.72

294 件の評価

📐 Precalculus 📚 High School Math 🔺 Trigonometry 🧮 Matrices 📉 Differential Equations

Mastering Poker Math

著： Charles W. Clayton • 2019

Forty percent of poker is math. Most players learn none of it. That edge is yours.

3.79

🃏 Poker Strategy ♠️ Texas Hold'em 🏆 Tournament Poker 🧮 Poker Mathematics 🎯 Game Theory

Mastering Poker Math

Forty percent of poker is math. Most players learn none of it. That edge is yours.

著： Charles W. Clayton 2019 304 ページ

3.79

33 件の評価

🃏 Poker Strategy ♠️ Texas Hold'em 🏆 Tournament Poker 🧮 Poker Mathematics 🎯 Game Theory

Using Graphic Novels in the STEM Classroom

著： William Boerman-Cornell • 2023

How graphic novels make STEM concepts click, and which ones to use in your classroom.

5.00

🧪 Stem Education 📚 Comics In The Classroom 👁️ Visual Literacy 📖 Multimodal Literacy 🎓 Educational Comics

Using Graphic Novels in the STEM Classroom

How graphic novels make STEM concepts click, and which ones to use in your classroom.

著： William Boerman-Cornell 2023 168 ページ

5.00

1 件の評価

🧪 Stem Education 📚 Comics In The Classroom 👁️ Visual Literacy 📖 Multimodal Literacy 🎓 Educational Comics

The Last Man Who Knew Everything

著： Mike Hockney • 2012

The universe is math, not matter, and your mind is a zero with infinite potential.

4.46

🌌 Mathematical Platonism 🧠 Panpsychism 🕯️ Esoteric Philosophy 🔄 Hegelian Dialectics 👁️ Secret Societies

The Last Man Who Knew Everything

The universe is math, not matter, and your mind is a zero with infinite potential.

著： Mike Hockney 2012 298 ページ

4.46

90 件の評価

🌌 Mathematical Platonism 🧠 Panpsychism 🕯️ Esoteric Philosophy 🔄 Hegelian Dialectics 👁️ Secret Societies

My Good Grief

著： Cindyanne Kershaw • 2006

Seen enough options? There is a mathematically optimal moment to stop looking and commit.

4.50

💻 Applied Computer Science 🔬 Science-Based Self-Help 🤔 Rational Decision Making 📊 Bayesian Reasoning 🎲 Game Theory Applications

My Good Grief

Seen enough options? There is a mathematically optimal moment to stop looking and commit.

著： Cindyanne Kershaw 2006

4.50

2 件の評価

💻 Applied Computer Science 🔬 Science-Based Self-Help 🤔 Rational Decision Making 📊 Bayesian Reasoning 🎲 Game Theory Applications

Data Structures and Problem Solving Using Java

著： Mark Allen Weiss • 2009

Coding tricks lose to growth rates. The data structures and guarantees that survive at scale.

3.58

🏗️ Data Structures 🧠 Algorithmic Thinking 🕸️ Graph Algorithms 🔄 Recursion 🧱 Object Oriented Design

Data Structures and Problem Solving Using Java

Coding tricks lose to growth rates. The data structures and guarantees that survive at scale.

著： Mark Allen Weiss 2009 1032 ページ

3.58

36 件の評価

🏗️ Data Structures 🧠 Algorithmic Thinking 🕸️ Graph Algorithms 🔄 Recursion 🧱 Object Oriented Design

AIQ

著： Nick Polson • 2018

What a 19th-century nurse and a lost submarine reveal about the algorithms that now run your life.

4.15

500+

🤖 Ai Explainers 📊 History Of Statistics 🎲 Bayesian Thinking 🔮 Prediction And Forecasting 🤝 Human-Machine Collaboration

AIQ

What a 19th-century nurse and a lost submarine reveal about the algorithms that now run your life.

著： Nick Polson 2018 288 ページ

4.15

500+ 件の評価

🤖 Ai Explainers 📊 History Of Statistics 🎲 Bayesian Thinking 🔮 Prediction And Forecasting 🤝 Human-Machine Collaboration

So lügt man mit Statistik

著： 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 🗞️ Media Criticism 📉 Misleading Charts

So lügt man mit Statistik

Precision, percentages, and pretty charts: a catalog of ways statistics are rigged to mislead you.

著： Walter Krämer 1991 206 ページ

3.74

136 件の評価

📊 Statistical Literacy 🎭 Data Manipulation 🧠 Cognitive Biases 🗞️ Media Criticism 📉 Misleading Charts

Az elvek csapodár természete

著： Mérő László • 2008

Reason depends on emotion. Logic has limits. A psychologist's case for pragmatism over purity.

4.25

🧠 Cognitive Biases 🎯 Game Theory 🧬 Cultural Evolution 📚 History Of Science 🎭 Emotion And Reason

Az elvek csapodár természete

Reason depends on emotion. Logic has limits. A psychologist's case for pragmatism over purity.

著： Mérő László 2008 230 ページ

4.25

61 件の評価

🧠 Cognitive Biases 🎯 Game Theory 🧬 Cultural Evolution 📚 History Of Science 🎭 Emotion And Reason

Einstein's Fridge

著： Paul Sen • 2021

The science of heat built the modern world and governs time's arrow, life, and black holes.

4.26

500+

📜 History Of Physics 🔥 Thermodynamics 🔬 History Of Science ⚡ Energy 🔀 Entropy

Einstein's Fridge

The science of heat built the modern world and governs time's arrow, life, and black holes.

著： Paul Sen 2021 320 ページ

4.26

500+ 件の評価

📜 History Of Physics 🔥 Thermodynamics 🔬 History Of Science ⚡ Energy 🔀 Entropy

Python for Data Analysis

著： Oscar Scratch • 2019

Python data analysis, taught through questions: NumPy, Pandas, and the bridge to machine learning.

3.50

🧮 Scientific Computing 🔄 Data Manipulation 📊 Data Visualization 🐍 Introductory Programming 📈 Beginner Data Science

Python for Data Analysis

Python data analysis, taught through questions: NumPy, Pandas, and the bridge to machine learning.

著： Oscar Scratch 2019 249 ページ

3.50

2 件の評価

🧮 Scientific Computing 🔄 Data Manipulation 📊 Data Visualization 🐍 Introductory Programming 📈 Beginner Data Science

Hands-On Quantum Information Processing with Python

著： Dr. Makhamisa Senekane • 2021

Python for quantum computing: from qubits to algorithms, cryptography, and machine learning.

4.00

⚛️ Quantum Computing 💻 Quantum Programming 🧮 Quantum Algorithms 🔐 Quantum Cryptography 🤖 Quantum Machine Learning

Hands-On Quantum Information Processing with Python

Python for quantum computing: from qubits to algorithms, cryptography, and machine learning.

著： Dr. Makhamisa Senekane 2021 252 ページ

4.00

1 件の評価

⚛️ Quantum Computing 💻 Quantum Programming 🧮 Quantum Algorithms 🔐 Quantum Cryptography 🤖 Quantum Machine Learning

Python Machine Learning Case Studies

著： Danish Haroon • 2017

Five Python case studies in machine learning: from data cleanup to a scored model, step by step.

2.60

📊 Data Science 🤖 Machine Learning 🔍 Exploratory Data Analysis ⚙️ Feature Engineering 📐 Model Evaluation

Python Machine Learning Case Studies

Five Python case studies in machine learning: from data cleanup to a scored model, step by step.

著： Danish Haroon 2017 221 ページ

2.60

5 件の評価

📊 Data Science 🤖 Machine Learning 🔍 Exploratory Data Analysis ⚙️ Feature Engineering 📐 Model Evaluation

Practical Data Analytics for BFSI

著： Mr. Bharat Sikka • 2023

ATM refills, fraud alerts, loan approvals: the data models that run a modern bank.

🏦 Banking Analytics 💼 Financial Services 🗂️ Data Governance 🕵️ Fraud Detection ⚠️ Risk Management

Practical Data Analytics for BFSI

ATM refills, fraud alerts, loan approvals: the data models that run a modern bank.

著： Mr. Bharat Sikka 2023 334 ページ

🏦 Banking Analytics 💼 Financial Services 🗂️ Data Governance 🕵️ Fraud Detection ⚠️ Risk Management

Java Deep Learning Essentials

著： Yusuke Sugomori • 2016

Python demos deep learning; Java deploys it. Architectures and libraries to close the gap.

3.20

🧠 Deep Learning ☕ Java Machine Learning 🔧 Practical Deep Learning 👁️ Computer Vision 🗣️ Natural Language Processing

Java Deep Learning Essentials

Python demos deep learning; Java deploys it. Architectures and libraries to close the gap.

著： Yusuke Sugomori 2016 254 ページ

3.20

5 件の評価

🧠 Deep Learning ☕ Java Machine Learning 🔧 Practical Deep Learning 👁️ Computer Vision 🗣️ Natural Language Processing

Arcadia

著： Tom Stoppard • 1993

A Regency prodigy glimpses chaos. Two centuries later, rival scholars in her house chase her truth.

4.13

24,000+

📚 Dual Timeline Narrative 🎭 Comedy Of Manners 🏛️ Country House Drama 🍎 Tutor And Prodigy 📝 Academic Rivals

Arcadia

A Regency prodigy glimpses chaos. Two centuries later, rival scholars in her house chase her truth.

著： Tom Stoppard 1993 144 ページ

4.13

24,000+ 件の評価

📚 Dual Timeline Narrative 🎭 Comedy Of Manners 🏛️ Country House Drama 🍎 Tutor And Prodigy 📝 Academic Rivals

Machine Learning

著： Dr Ruchi Doshi • 2021

From training models with labeled data to finding hidden patterns: the algorithms behind modern AI.

5.00

🧠 Machine Learning 📊 Supervised Learning 🧬 Deep Learning 🕹️ Reinforcement Learning 🛠️ Feature Engineering

Machine Learning

From training models with labeled data to finding hidden patterns: the algorithms behind modern AI.

著： Dr Ruchi Doshi 2021 294 ページ

5.00

1 件の評価

🧠 Machine Learning 📊 Supervised Learning 🧬 Deep Learning 🕹️ Reinforcement Learning 🛠️ Feature Engineering

Hyperreality

著： Mike Hockney • 2012

Reality is a self-solving mathematical equation, and God is the answer, not the author.

4.61

🔢 Mathematical Platonism 🕯️ Esoteric Philosophy ⚛️ Quantum Consciousness 🌐 Holographic Universe 🌊 Process Philosophy

Hyperreality

Reality is a self-solving mathematical equation, and God is the answer, not the author.

著： Mike Hockney 2012 213 ページ

4.61

56 件の評価

🔢 Mathematical Platonism 🕯️ Esoteric Philosophy ⚛️ Quantum Consciousness 🌐 Holographic Universe 🌊 Process Philosophy

The Hidden Geometry of Life

著： Karen L. French • 2012

The cosmos is written in geometry. Three shapes frame reality; one spiral drives its motion.

3.67

🧱 Sacred Geometry 🕉️ Perennial Philosophy 🔬 Metaphysical Science ⚗️ Hermeticism 🌿 Patterns In Nature

The Hidden Geometry of Life

The cosmos is written in geometry. Three shapes frame reality; one spiral drives its motion.

著： Karen L. French 2012 240 ページ

3.67

55 件の評価

🧱 Sacred Geometry 🕉️ Perennial Philosophy 🔬 Metaphysical Science ⚗️ Hermeticism 🌿 Patterns In Nature

The Course

著： Ed Miller • 2015

Profit in poker comes from one source: opponents who play too many hands. Here's the system.

4.40

259

♠️ Poker Strategy 🃏 No Limit Hold Em 💰 Cash Games 🎯 Exploitative Play 📏 Bet Sizing

The Course

Profit in poker comes from one source: opponents who play too many hands. Here's the system.

著： Ed Miller 2015 306 ページ

4.40

259 件の評価

♠️ Poker Strategy 🃏 No Limit Hold Em 💰 Cash Games 🎯 Exploitative Play 📏 Bet Sizing

The Survival Game

著： David Philip Barash • 2003

The logic behind why animals cooperate, nations arm, and rational people sabotage themselves.

3.84

🧮 Game Theory 🧬 Evolutionary Biology 🧠 Behavioral Science 🤝 Cooperation Dilemmas 🏘️ Social Dilemmas

The Survival Game

The logic behind why animals cooperate, nations arm, and rational people sabotage themselves.

著： David Philip Barash 2003 320 ページ

3.84

44 件の評価

🧮 Game Theory 🧬 Evolutionary Biology 🧠 Behavioral Science 🤝 Cooperation Dilemmas 🏘️ Social Dilemmas

Godel's Proof

著： Ernest Nagel • 1958

Arithmetic cannot prove its own consistency. The man who proved that was twenty-five.

4.19

5,000+

🧮 Mathematical Logic 🏛️ Foundations Of Mathematics 🧩 Incompleteness 🪞 Self-Reference ⚙️ Formal Systems

Godel's Proof

Arithmetic cannot prove its own consistency. The man who proved that was twenty-five.

著： Ernest Nagel 1958 160 ページ

4.19

5,000+ 件の評価

🧮 Mathematical Logic 🏛️ Foundations Of Mathematics 🧩 Incompleteness 🪞 Self-Reference ⚙️ Formal Systems

AI in the Financial Markets

著： Federico Cecconi • 2023

AI finds market patterns invisible to humans, trades on them instantly, and offers no explanation.

📉 Financial Markets 💻 Fintech 🤖 Algorithmic Trading 📊 Quantitative Finance 📡 Alternative Data

AI in the Financial Markets

AI finds market patterns invisible to humans, trades on them instantly, and offers no explanation.

著： Federico Cecconi 2023 236 ページ

📉 Financial Markets 💻 Fintech 🤖 Algorithmic Trading 📊 Quantitative Finance 📡 Alternative Data

The Light Ages

著： Seb Falk • 2020

Eclipse math, precision clocks, a six-foot computer: the medieval laboratory inside the monastery.

3.67

1,000+

🔬 History Of Science 🏰 Medieval History ⚗️ Medieval Science ⚙️ Medieval Technology 📜 Monastic Scholarship

The Light Ages

Eclipse math, precision clocks, a six-foot computer: the medieval laboratory inside the monastery.

著： Seb Falk 2020 392 ページ

3.67

1,000+ 件の評価

🔬 History Of Science 🏰 Medieval History ⚗️ Medieval Science ⚙️ Medieval Technology 📜 Monastic Scholarship

Forecasting

著： Rob J. Hyndman • 2013

Build forecasts that work: test on unseen data, beat simple benchmarks, reconcile every level.

4.39

318

🧮 Time Series Analysis 📈 Business Forecasting 📊 Statistical Modeling 👁 Data Visualization 📦 Demand Planning

Forecasting

Build forecasts that work: test on unseen data, beat simple benchmarks, reconcile every level.

著： Rob J. Hyndman 2013 292 ページ

4.39

318 件の評価

🧮 Time Series Analysis 📈 Business Forecasting 📊 Statistical Modeling 👁 Data Visualization 📦 Demand Planning

Digital Games and Mathematics Learning

著： Lowrie • 2015

Digital games sharpen the spatial skills math requires, but picking the right app is the hard part.

4.00

🧮 Math Education 🎮 Game-Based Learning 💻 Educational Technology 🧑‍🏫 Teacher Training 🧠 Spatial Reasoning

Digital Games and Mathematics Learning

Digital games sharpen the spatial skills math requires, but picking the right app is the hard part.

著： Lowrie 2015 326 ページ

4.00

1 件の評価

🧮 Math Education 🎮 Game-Based Learning 💻 Educational Technology 🧑‍🏫 Teacher Training 🧠 Spatial Reasoning

Human Behavior and the Principle of Least Effort

著： George Kingsley Zipf • 2012

Every word spoken and every city built follows one mathematical equation.

3.77

📊 Quantitative Linguistics ⚛️ Social Physics 📈 Power Laws 🏙️ Urban Scaling 🗣️ Word Frequencies

Human Behavior and the Principle of Least Effort

Every word spoken and every city built follows one mathematical equation.

著： George Kingsley Zipf 2012 588 ページ

3.77

22 件の評価

📊 Quantitative Linguistics ⚛️ Social Physics 📈 Power Laws 🏙️ Urban Scaling 🗣️ Word Frequencies

Machine Trading

著： Ernest P. Chan • 2016

Why most backtest profits vanish in live trading, and the quantitative methods that survive.

3.83

🤖 Algorithmic Trading 📊 Quantitative Finance 🔁 Backtesting Frameworks ⚠️ Risk Management 🧠 Machine Learning Finance

Machine Trading

Why most backtest profits vanish in live trading, and the quantitative methods that survive.

著： Ernest P. Chan 2016 256 ページ

3.83

80 件の評価

🤖 Algorithmic Trading 📊 Quantitative Finance 🔁 Backtesting Frameworks ⚠️ Risk Management 🧠 Machine Learning Finance

The Economist Numbers Guide

著： The Economist • 2001

A 50% raise then 50% cut leaves you at 75%. The business math that stops costly errors.

3.84

🧮 Quantitative Methods 📊 Business Statistics 🎲 Probability For Managers 🔮 Forecasting Methods 🤔 Decision Analysis

The Economist Numbers Guide

A 50% raise then 50% cut leaves you at 75%. The business math that stops costly errors.

著： The Economist 2001 271 ページ

3.84

67 件の評価

🧮 Quantitative Methods 📊 Business Statistics 🎲 Probability For Managers 🔮 Forecasting Methods 🤔 Decision Analysis

High Speed Signal Propagation

著： Howard W. Johnson • 2003

Your traces are never just wires: the physics that decide whether your board works.

4.00

📡 High-Speed Digital 〰️ Signal Integrity ⚡ Power Integrity 🛡️ Emc 📐 Pcb Layout

High Speed Signal Propagation

Your traces are never just wires: the physics that decide whether your board works.

著： Howard W. Johnson 2003 808 ページ

4.00

16 件の評価

📡 High-Speed Digital 〰️ Signal Integrity ⚡ Power Integrity 🛡️ Emc 📐 Pcb Layout

Corporate Capital Structures in the United States

著： Benjamin M. Friedman • 2009

Inflation turned corporate debt into a tax shelter: the hidden engine of postwar borrowing.

3.50

🏢 Corporate Finance 📊 Capital Structure 💰 Corporate Taxation 📈 Option Pricing Theory 🔍 Agency Costs

Corporate Capital Structures in the United States

Inflation turned corporate debt into a tax shelter: the hidden engine of postwar borrowing.

著： Benjamin M. Friedman 2009 390 ページ

3.50

2 件の評価

🏢 Corporate Finance 📊 Capital Structure 💰 Corporate Taxation 📈 Option Pricing Theory 🔍 Agency Costs

Paul Wilmott on Quantitative Finance, Volumes 1-3

著： Paul Wilmott • 2000

Your hedged portfolio isn't risk-free. Here's why, and the math that explains what actually breaks.

4.25

📈 Derivatives Pricing ⚙️ Financial Engineering 📐 Stochastic Calculus 📊 Volatility Modeling 🛡️ Risk Management

Paul Wilmott on Quantitative Finance, Volumes 1-3

Your hedged portfolio isn't risk-free. Here's why, and the math that explains what actually breaks.

著： Paul Wilmott 2000 1500 ページ

4.25

81 件の評価

📈 Derivatives Pricing ⚙️ Financial Engineering 📐 Stochastic Calculus 📊 Volatility Modeling 🛡️ Risk Management

The Numbers Game

著： David Sally • 2013

Why soccer's weakest player matters more than its star, and half the result is luck.

3.72

3,000+

🎯 Soccer Analytics 💰 Sports Economics 🔗 Team Interdependence 🥷 Underdog Strategies 🎲 Role Of Luck

The Numbers Game

Why soccer's weakest player matters more than its star, and half the result is luck.

著： David Sally 2013 401 ページ

3.72

3,000+ 件の評価

🎯 Soccer Analytics 💰 Sports Economics 🔗 Team Interdependence 🥷 Underdog Strategies 🎲 Role Of Luck

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数学

数学 本の要約

数学本の要約