Titres dans Mathématiques

Der Zufall regiert unsere Welt. Mit welchen Zahlen man morgen im Lotto gewinnt oder wo es in zwei Jahren regnen wird, ist reine Glückssache. Trotzdem gehen wir davon aus, dass sich die Welt an berechenbare Naturgesetze hält wie eine Uhr, in der ein Zahnrad das nächste bewegt. Wenn man sich auf die Suche nach den wissenschaftlichen Wurzeln des Zufalls begibt, stößt man auf Schmetterlinge, die mit einem Flügelschlag den Lauf der Welt verändern, auf winzige Teilchen, die ihre Eigenschaften ganz zufällig festlegen, und auf genetische Mutationen, die das Leben in neue Bahnen lenken.

¿Qué son las matemáticas? ¿Para qué sirven? ¿Por qué es importante conocer su historia? Estas son algunas de las preguntas a las que da respuesta esta obra que nos narra de forma concisa la historia de esta ciencia desde la Prehistoria hasta nuestros días. Pero esta narración no es solamente una superposición de personajes históricos y de sus felices descubrimientos, sino que es una reivindicación de los componentes emocionales, incluso irracionales, que muchas veces han acompañado las actitudes apasionadas de estos célebres personajes, empeñados en buscar soluciones...

Inspired by Albert Einstein's theory of relativity and Bertrand Russell and David Hilbert's pursuit of the fundamental rules of mathematics, some of the most brilliant minds of the generation came together in post-World War I Vienna to present the latest theories in mathematics, science, and philosophy and to build a strong foundation for scientific investigation. Composed of such luminaries as Kurt Gödel and Rudolf Carnap, and stimulated by the works of Ludwig Wittgenstein and Karl Popper, the Vienna Circle left an indelible mark on science.

Do you like to make uninformed, often poor decisions? Are you okay with being manipulated by skewed charts and diagrams? How about being lied to about the effectiveness of a product? Statistics can help you make exponentially better calls on what to buy, who to listen to, and what to believe.

Não estamos preparados para lidar com o aleatório e, por isso, não percebemos o quanto o acaso interfere em nossas vidas. Num tom irreverente, citando exemplos e pesquisas presentes em todos os âmbitos da vida, do mercado financeiro aos esportes, de Hollywood à medicina, Leonard Mlodinow apresenta de forma divertida e curiosa as ferramentas necessárias para identificar os indícios do acaso. Como resultado, nos ajuda a fazer escolhas mais acertadas e a conviver melhor com fatores que não podemos controlar.

Why do our friends have more friends than we do? Can simple maths help us with our self-esteem? And how can game theory offer solutions to the climate emergency? When we reason well, it is easier to be happy (and good and also, you know, right). But when dealing with others, it's not enough to be clever - you must be able to put yourself in the shoes of the clever person opposite you and think of what they might do. It's this insight that lies at the heart of Reason to Be Happy, whether you are dealing with the Cuban Missile Crisis or letting go of anger.

Keep it casual with the Casual Inference podcast. Your hosts Lucy D'Agostino McGowan and Ellie Murray talk all things epidemiology, statistics, data science, causal inference, and public health. Sponsored by the American Journal of Epidemiology.

Explore the deadly elegance of finance's hidden powerhouse. The Money Formula takes you inside the engine room of the global economy to explore the little-understood world of quantitative finance, and show how the future of our economy rests on the backs of this all-but-impenetrable industry. This book traces the development of financial derivatives from bonds to credit default swaps, and shows how mathematical formulas went beyond pricing to expand their use to the point where they dwarfed the real economy.

Dark Data explores the many ways in which we can be blind to missing data and how that can lead us to conclusions and actions that are mistaken, dangerous, or even disastrous. Examining a wealth of real-life examples, from the Challenger shuttle explosion to complex financial frauds, Hand gives us a practical taxonomy of the types of dark data that exist and the situations in which they can arise, so that we can learn to recognize and control for them.

In the dynamic world of finance, artificial intelligence is no longer the future—it’s the present. Yet for many everyday investors, the rapid rise of AI-driven tools can feel overwhelming, opaque, or simply out of reach. If you’ve ever asked yourself how to adopt AI in your portfolio or wondered whether the next breakthrough algorithm could power your financial success, this book is your comprehensive guide.

Pythagoras of Samos, born around 570 BCE, is one of history’s most celebrated and enigmatic figures. Revered as a mathematician, philosopher, and spiritual leader, his contributions transcend disciplines, leaving a legacy that continues to shape modern thought. Known best for the Pythagorean Theorem, a fundamental concept in geometry, Pythagoras’s influence extends far beyond mathematics. His ideas in philosophy, cosmology, and ethics laid the groundwork for Western intellectual traditions and established him as a pioneer of interdisciplinary thinking. Yet, much of his life remains cloaked...

脳はどう心を生み出すのか?数学、物理学、脳科学を横断しながら、脳と心の仕組みを解き明かす過程でたどり着いたのは「カオス理論」だった。

Life is full of uncertainty. You don't know what lies ahead. But you can learn to control the controllable by using logic and reason. With the help of this book, you'll discover new ways to think about - and solve - problems more efficiently than ever before. Discover how strategic games model real-life behavior.

A fascinating guided tour of the complex, fast-moving, and influential world of algorithms - what they are, why they’re such powerful predictors of human behavior, and where they’re headed next. Algorithms exert an extraordinary level of influence on our everyday lives - from dating websites and financial trading floors, through to online retailing and internet searches - Google's search algorithm is now a more closely guarded commercial secret than the recipe for Coca-Cola.

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...

In Zero, science journalist Charles Seife follows this innocent-looking number from its birth as an Eastern philosophical concept to its struggle for acceptance in Europe, its rise and transcendence in the West, and its ever-present threat to modern physics.

Mathematical Mindsets provides practical strategies and activities to help teachers and parents show all children, even those who are convinced that they are bad at math, that they can enjoy and succeed in math. Jo Boaler - Stanford researcher, professor of math education, and expert on math learning - has studied why students don't like math and often fail in math classes. She's followed thousands of students through middle and high schools to study how they learn and to find the most effective ways to unleash the math potential in all students.

A famed political scientist's classic argument for a more cooperative world We assume that, in a world ruled by natural selection, selfishness pays. So why cooperate? In The Evolution of Cooperation, political scientist Robert Axelrod seeks to answer this question. In 1980, he organized the...

These programming languages help in making programs which increase the overall productivity, communication, and efficiency of the work. Out of so many programming languages to choose from, python is one of the most loved programming languages among computer geeks. This is because python is one of those rare languages that is both simple and powerful. Python has everything that you may require to make a new program. If you will see someone writing a program in python, you will be really surprised to see how easy it is in python to find the solution for a problem.

Financial economist George G. Szpiro here tells the fascinating stories of the pioneers of mathematical finance who conducted the search for the elusive options pricing formula. From the broker's assistant who published the first mathematical explanation of financial markets to Albert Einstein and other scientists, Pricing the Future retraces the historical and intellectual developments that ultimately led to the widespread use of mathematical models to drive investment strategies on Wall Street.