検索キーワード： 数学

Benvenuti a "Nodi da Sciogliere", il podcast che vi porta nel magico mondo dei racconti di Lewis Carroll, dove la fantasia si intreccia con la logica e la matematica. In ogni episodio esploreremo uno dei racconti tratti dalla sua raccolta "10 Nodi da Sciogliere", svelando i segreti nascosti tra le righe e invitandovi a mettere alla prova il vostro ingegno. Ogni racconto nasconde un problema matematico, una sfida intrigante che Carroll ha abilmente celato nella narrazione. Vi guideremo passo dopo passo attraverso le storie, lasciandovi con un enigma da risolvere. Sarà poi compito vostro, ...

Alan Turing was the mathematician whose cipher-cracking transformed the Second World War. Taken on by British Intelligence in 1938, as a shy young Cambridge don, he combined brilliant logic with a flair for engineering. In 1940 his machines were breaking the Enigma-enciphered messages of Nazi Germany's air force. He then headed the penetration of the super-secure U-boat communications.

In a world where fake news stories change election outcomes, has rationality become futile? In The Art of Logic in an Illogical World, Eugenia Cheng throws a lifeline to listeners drowning in the illogic of contemporary life.

Game theory means rigorous strategic thinking. It’s the art of anticipating your opponent’s next moves, knowing full well that your rival is trying to do the same thing to you. Though parts of game theory involve simple common sense, much is counterintuitive, and it can only be mastered by developing a new way of seeing the world. Using a diverse array of rich case studies - from pop culture, TV, movies, sports, politics, and history - the authors show how nearly every business and personal interaction has a game-theory component to it.

In today’s data-driven world, maths is a weapon wielded by banks, insurance companies, tech firms, and government agencies. These organizations use sophisticated algorithms to calculate odds, make predictions, uncover patterns, manage risk, and optimize actions. And they treat you as another number to crunch along the way. Robin Hood Maths explains the mathematical methods these companies and agencies use to manipulate and profit off of you.

Gottfried Wilhelm Leibniz was a "universal genius" who ranged across many fields and made breakthroughs in most of them. Leibniz invented calculus (independently from Isaac Newton), conceptualized the modern computer, and developed the famous thesis that the existing world is the best that God could have created.

In Love and Math, renowned mathematician Edward Frenkel reveals a side of math we've never seen, suffused with all the beauty and elegance of a work of art. In this heartfelt and passionate book, Frenkel shows that mathematics, far from occupying a specialist niche, goes to the heart of all matter, uniting us across cultures, time, and space.

Exploring and explaining a litany of glitches, near misses, and mathematical mishaps involving the internet, big data, elections, street signs, lotteries, the Roman Empire, and an Olympic team, Matt Parker uncovers the bizarre ways math trips us up, and what this reveals about its essential place in our world. Getting it wrong has never been more fun.

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.

This is my very interesting podcast about FPGAs and applications. Hosted on Acast. See acast.com/privacy for more information.

Featuring a wealth of sample puzzles ranging from simple to extremely challenging, this lively and engaging book brings together many of the most ingenious puzzles ever devised, including the "Hardest Logic Puzzle Ever", metapuzzles, paradoxes, and the logic puzzles in detective stories.

A podcast about risk, probability, philosophy and data science.Become a supporter of this podcast: https://www.spreaker.com/podcast/the-logic-of-risk--6469023/support.

Are you ready to join the ranks of entrepreneurs making a fortune with AI? In "ChatGPT Millionaire Fast Track," you’ll discover how to harness the revolutionary power of ChatGPT and other AI tools to create multiple streams of income—faster and smarter than ever before. Whether you're an aspiring entrepreneur, freelancer, or side-hustler, this step-by-step guide will teach you exactly how to use AI to build profitable online ventures in 2024 and beyond.

Bienvenidos a "Calculadora Alicia Arena," un podcast comprometido con la exploración del fascinante mundo de las matemáticas, la tecnología y las herramientas que transforman cómo resolvemos problemas en nuestra vida cotidiana. Este es un espacio creado para todos aquellos que desean comprender, aprender y aprovechar al máximo las calculadoras y sus aplicaciones en diversos campos. En "Calculadora Alicia Arena," nuestro objetivo es desmitificar el uso de calculadoras avanzadas y mostrar cómo estas herramientas pueden ser indispensables en el mundo moderno. Desde estudiantes y ...

Where we explore the historical figures that count. An in-depth look at the history of mathematics, in chronological order, looking at the people, the theories, the ideas - with as fewer gaps as possible. Each episode we focus in on a single character or contribution to the history of maths and explore why it is significant, and how it evolved.

Cervellogico: agg. [der. di cervello] (pl. m. -ci). – il contrario di qualcosa volutamente complesso, oscuro e incomprensibile (i.d. cervellotico)Testi, musiche e grafiche by Liz Martin

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.

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.

To score a job in data science, machine learning, computer graphics, and cryptography, you need to bring strong math skills to the party. Math for Programmers teaches the math you need for these hot careers, concentrating on what you need to know as a developer. Filled with lots of helpful graphics and more than 200 exercises and mini-projects, this book unlocks the door to interesting - and lucrative! - careers in some of today’s hottest programming fields about the technology.

Work with data like a pro using this guide that breaks down how to organize, apply, and most importantly, understand what you are analyzing in order to become a true data ninja.