検索キーワード： 数学

Aubrey Clayton traces the history of how statistics went astray, beginning with the groundbreaking work of the 17th-century mathematician Jacob Bernoulli and winding through gambling, astronomy, and genetics. Clayton recounts the feuds among rival schools of statistics, exploring the surprisingly human problems that gave rise to the discipline and the all-too-human shortcomings that derailed it.

A celebrated mathematician explores how math helps us make sense of the unpredictable We would like to believe we can know things for certain. We want to be able to figure out who will win an election, if the stock market will crash, or if a suspect definitely committed a crime. But the odds are...

In concise, immediate prose, Italian physicist and novelist Paolo Giordano explains how disease spreads in our interconnected world: why it matters, how it impacts us, how we must react. Writing from his home in Rome as Italy implements the largest peace-time lockdown ever recorded in a democratic country, Giordano expands his focus to other forms of contagion linked to this epidemic - fake news, the environmental crisis, nationalism and xenophobia, our lack of imagination in promoting a new kind of global community.

When was the last time you read a grand statement, accompanied by a large number and wondered whether it could really be true? Statistics are vital in helping us tell stories - we see them in the papers, on social media and we hear them used in everyday conversation - and yet we doubt them more than ever. But numbers - in the right hands - have the power to change the world for the better. Contrary to popular belief, good statistics are not a trick, although they are a kind of magic.

The Instant New York Times Bestseller | With a New Preface from Nate Silver for 2025 New York Times Book Review Paperback Row selection “Engaging and entertaining . . . a glimpse of the economy of the future.” —Tim Wu, New York Times Book Review From the New York Times bestselling author...

Why mathematical models are so often wrong, and how we can make better decisions by accepting their limits Whether we are worried about the spread of COVID-19 or making a corporate budget, we depend on mathematical models to help us understand the world around us every day. But models aren’t a...

Alan Turing can be regarded as one of the greatest scientists of the 20th century. But who was Turing, and what did he achieve during his tragically short life of 41 years? Best known as the genius who broke Germany's most secret codes during the war of 1939-45, Turing was also the father of the modern computer. Today, all who 'click-to-open' are familiar with the impact of Turing's ideas. Here, B. Jack Copeland provides an account of Turing's life and work, exploring the key elements of his life-story in tandem with his leading ideas and contributions.

E=mc2 was born in 1905, the brainchild of Albert Einstein. In this lucid and brilliant book, one of the best popularizers of science illuminates one of science's most complex concepts. Ranging widely from Exit signs in theatres to the future fate of the earth, from smoke detectors to black holes...

The Freakonomics of math—a math-world superstar unveils the hidden beauty and logic of the world and puts its power in our hands The math we learn in school can seem like a dull set of rules, laid down by the ancients and not to be questioned. In How Not to Be Wrong, Jordan Ellenberg shows us...

What if randomness isn’t truly random? In When Randomness Forms Patterns, Mohanad Asim Mustafa explores 17 years of lottery data to uncover hidden structures beneath what appears to be pure chance. Through real-world datasets, clustering models, and analytical thinking, this book challenges the way we perceive randomness, probability, and patterns. Whether you're interested in data science, statistics, or simply curious about how patterns emerge from chaos, this audiobook will change how you think about numbers forever. This is not about predicting the lottery.

What's the Use? asks why there is such a vast gulf between public perceptions of mathematics and reality. It shows how mathematics is vital, often in surprising ways, behind the scenes of daily life. How politicians pick their voters. How an absurd little puzzle solved 300 years ago leads to efficient methods for kidney transplants. How an Irish mathematician's obsession with a new number system improves special effects in movies and computer games. How SatNav relies on at least six mathematical techniques.

From Oxford lecturer in mathematics and math YouTuber Tom Crawford, a humorous, rigorous, and surprisingly profound dive into the math of popular culture How would an actuary price out the risk of Frodo Baggins’s journey to Mount Doom? How many calories must Charizard consume each day to keep...

Shoulders of Giants is a narrative history of how mathematics revealed the hidden forces shaping the modern world. From the geometry of ancient Greece to the emergence of electromagnetic theory, this audiobook follows the thinkers who transformed abstract symbols into practical tools — ideas that eventually carried signals, voices, and energy across continents. Along the way appear vivid portraits of mathematicians and physicists grappling with space, motion, light, and invisible fields, driven as much by obsession and rivalry as by curiosity.

प्रिन्सिपिया या ग्रंथात सुरूवातीला काही व्याख्या आणि गतीविषयीचे नियम न्यूटनने मांडले आहेत. त्यानंतर पहिल्या...

पृथ्वीबाहेर जीवसृष्टी खरोखर आहे का, एलियन्स खरोखर असतात का, उडत्या तबकड्यांचे रहस्य काय, मंगळावर पाणी आहे तर...

„Entscheidungen automatisieren“ ist ein Podcast für erfahrene Techniker, Ingenieure und operativ verantwortliche Entscheider, die komplexe Systeme entwerfen, betreiben oder steuern. Im Fokus stehen reale Entscheidungsprobleme aus der Praxis: Planung, Regelung und Optimierung dort, wo Standardsoftware, einfache Heuristiken oder der Einsatz generischer KI nicht mehr ausreichen. Der Podcast zeigt, wie Entscheidungen in operativen Systemen strukturiert, modelliert und verantwortbar automatisiert werden – anhand konkreter Beispiele und typischer Denkfehler aus realen Projekten. Es ist kein ...

Mathematics has long been regarded as the purest expression of truth — a language through which the universe reveals itself. Yet behind every equation stands the human mind that created it. In this book, Boris Krieger follows the path of mathematics from its simplest intuitions to its highest abstractions, asking what it truly reveals — about reality, and about ourselves. Through lucid reflection and critical insight, he shows that geometry, algebra, topology, and probability are not independent worlds but translations of human perception into structure.

It's in every photo you post to Instagram, every Google search you make and every prompt you give to ChatGPT . . . Big Math - the branch of modern mathematics behind our digital revolution - operates under the hood of these everyday miracles, driving the biggest shifts in how we shop...

Why does mathematics—a creation of the human mind—describe the physical world with such extraordinary precision? Why do equations invented for one purpose turn out, decades or centuries later, to be the perfect language for a completely different realm of nature? In 1960, the Nobel laureate Eugene Wigner called this correspondence a 'gift we neither understand nor deserve.' The question has haunted science ever since. In this book, Boris Kriger proposes an answer that is at once simple and profound: mathematics describes the world because only the mathematically structured survives.

What if the numbers guiding your biggest decisions were never meant for you? From weather forecasts to medical risks, investment advice to AI predictions, probability surrounds modern life—offering the appearance of certainty in an uncertain world. Yet most people don’t realize: probability is a powerful tool, but only under the right conditions. Misapplied, it doesn’t just fail—it misleads. This book reveals the hidden structure behind when probability works, when it doesn’t, and why it so often feels precise but proves personally wrong.