Zeigt Titel in Mathematik

From popular math blogger and author of the underground bestseller Math With Bad Drawings, Change Is The Only Constant is an engaging and eloquent exploration of the intersection between calculus and daily life, complete with Orlin's sly humor and wonderfully bad drawings. Change is the Only...

Who hasn't feared the math Minotaur in its labyrinth of abstractions? Now, in Out of the Labyrinth, Robert and Ellen Kaplan - the founders of The Math Circle, the popular learning program begun at Harvard in 1994 - reveal the secrets behind their highly successful approach, leading listeners out of the labyrinth and into the joyous embrace of mathematics.

Simply put, an algorithm is a set of instructions-it's the code that makes computers run. A basic idea that proved elusive for hundreds of years and bent the minds of the greatest thinkers in the world, the algorithm is what made the modern world possible. Without the algorithm, there would have been no computer, no Internet, no virtual reality, no e-mail, or any other technological advance that we rely on every day.

Bestseller over cijfers en feiten. Wat is nu de gemiddelde levensverwachting in de wereld? Hoeveel meisjes maken de basisschool af? Welk percentage van de wereldbevolking leeft in armoede? Op eenvoudige vragen over wereldwijde trends geven we systematisch de verkeerde antwoorden. Het is zelfs zo erg dat een chimpansee die willekeurig antwoorden kiest consequent leraren, journalisten, Nobelprijswinnaars en studenten overtreft. In Feitenkennis legt hoogleraar Internationale Gezondheid en wereldfenomeen Hans Rosling uit waarom dit gebeurt.

For going on two decades, Scientific American’s “Ask the Experts” column has been answering reader questions on all fields of science. We’ve taken your questions from the basic to the esoteric and reached out to top scientists, professors, and researchers to find out why the sky is blue or whether we really only use 10 percent of our brains. Now, we’ve combed through our archives and have compiled some of the most interesting questions (and answers) into a series of books.

Never worry about understanding permutations and combinations again! Chapter one of the book reviews the basics of permutations and combination, to provide you with a big picture view of counting problems.Chapter 2 delves deeper, to provide you a solid understanding of permutations.Chapter 3 focuses on exploring combinations and how it is different from permutations.Chapter 4, you'll learn how to solve more difficult mixed problems of permutations and combinations.And much, much more.

Will you pay more for a $19.99 shirt with a 20 percent discount or a $24.99 shirt with a 30 percent discount? The truth is, most of the math you find yourself doing on a day to day basis it's usually done in your head, that's why improving your mental math skills is always useful. If you’ve grown up hating math, that’s probably because you’ve been taught with the wrong approach. Math can help you calculate a discount on the fly, easily multiply big numbers, or quickly figure out how much dough packs you’ll need to make 50 cookies if one pack will be enough for 20.

È vero che sono i più capaci ad avere successo nella vita? Questo audiolibro parla della fortuna. O meglio, del ruolo che gioca il caso nella nostra vita in generale, nei nostri affari in particolare. Ma parla anche di quella fortuna che, non essendo percepita come tale, viene scambiata per abilità: una confusione presente in molteplici campi, dalla scienza alla politica, dall'arte alla finanza. Quante volte abbiamo visto un idiota baciato dalla fortuna trovarsi nel posto giusto al momento giusto, dimostrazione vivente della "sopravvivenza del meno adatto"?

Create data stories that lead to smarter, more informed decisions. Raw data doesn’t change minds. But a well-crafted story? That’s what drives action. Whether you’re presenting to executives, persuading clients, or influencing your local community, this book will help you transform numbers into narratives that make an impact. Turn raw numbers into insights people actually understand and care about. Present data with clarity, accuracy, and impact.

A biostatistics podcast made by biostatistics enthusiast about all biostatistics topics! Powered by Firstory Hosting

Maps Are Everywhere. These are conversations with those building them.

Les algorithmes nous entourent, ils sont partout. On les trouve dans nos smartphones, dans nos ordis, dans la cuisine, et même dans nos chambres à coucher. Les plus connus s’appellent ChatGPT, Google, Siri, et ils apprennent de nous et de nos données. Avec Ex Machina, les chercheuses et les chercheurs de l’Université Paris Dauphine–PSL nous emmènent dans leurs réflexions pour mieux comprendre l’intelligence artificielle et ce que son arrivée dans notre quotidien implique pour nous, les humains. Travail, éducation, marketing, sociologie, art, ou encore politique : ...

Se trata de los números y los datos que manejan las estadísticas, indispensables en el relato con el que se construye hoy en día la actualidad política, económica y social. Y para comprender la realidad cambiante y compleja en la que vivimos no se necesita un doctorado en matemáticas. Basta un poco paciencia y sentido común, pero sobre todo, se requiere la curiosidad que Tim Harford, autor de El economista camuflado, sabe contagiar a sus lectores para observar el mundo con otros ojos.

Whether you are an educator, student, researcher, or administrator, it has become even more critical now more than ever to understand what contextualized math curriculum is and how it can be applied inside an online or face-to-face math classroom. What is contextualized mathematics? What are the foundational research underpinnings of contextualized math curriculum? What have we learned about contextualized math curriculum that will improve math education in the future?

Mathematician Ian Stewart tells listeners what he wishes he had known when he was a student. He takes up subjects ranging from the philosophical to the practical - what mathematics is and why it’s worth doing, the relationship between logic and proof, the role of beauty in mathematical thinking, the future of mathematics, how to deal with the peculiarities of the mathematical community, and many others.

‘Fascinating … so enlightening that suddenly maths doesn’t seem so fearsome as it once did’ SIMON WINCHESTER From Aristotle to Ada Lovelace: a brief history of the mathematical ideas that have forever changed the world and the everyday people and pioneers behind them. The story of our...

In a time of dire need, as climate change, conflict, and economic upheaval imperil our existence and our mental well-being deteriorates from not utilising our minds as God intended, Francis Keith Robins introduces a groundbreaking approach to saving humanity – reshaping our thought processes through mathematics. In his book, The Fourth Coming, Robins provides a detailed, step-by-step guide to unlocking our inherent mathematical potential. His vision is to create a society that is inclusive, equal, and peaceful – one that aligns with God’s desire for us.

Nate Silver es conocido por revolucionar el análisis predictivo aplicado a los deportes, la economía y la política, pero antes de eso se ganaba la vida jugando al póker. En su nuevo libro, Silver parte de su experiencia como jugador para investigar a una comunidad de personas con ideas afines cuyo dominio del riesgo le permite dar forma y dominar gran parte de la vida moderna. Él la llama El Río.

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.

Thinking Statistically is the book that shows you how to think like a statistician, without worrying about formal statistical techniques. Along the way we learn how selection bias can explain why your boss doesn't know he sucks (even when everyone else does); how to use Bayes' theorem to decide if your partner is cheating on you; and why Mark Zuckerberg should never be used as an example for anything.