検索キーワード： 数学

A podcast for actuaries

Want to follow Chelsea with an analytical incline? This is your podcast. Breaking down the season, transfers, performances by the numbers. Hosted on Acast. See acast.com/privacy for more information.

AN INSTANT NEW YORK TIMES BESTSELLER! An ode to triangles, the shape that makes our lives possible Trigonometry is perhaps the most essential concept humans have ever devised. The simple yet versatile triangle allows us to record music, map the world, launch rockets into space, and be slightly...

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...

In the bestselling The Signal and the Noise, Nate Silver showed how forecasting would define the age of Big Data. Now, in this timely and riveting new book, Silver investigates "The River," or those whose mastery of risk allows them to shape—and dominate—so much of modern life. These professional risk takers—poker players and hedge fund managers, crypto true-believers and blue-chip art collectors—can teach us much about navigating the uncertainty of the 21st century. 

Ever wondered how your favorite apps predict your preferences or how self-driving cars navigate the roads? Welcome to the world of Machine Learning, where these wonders come to life! "Introduction to Machine Learning" is your ticket to unraveling the mysteries of this groundbreaking technology without the need for a PhD!

Dalle origini dell'insegnamento alla passione per la statistica e per il continuo miglioramento del digitale nel mondo della scuola e della società. Dagli albori dell'informatica all'entrata nel mondo ICDL fino alla costituzione di un proprio Test Center ICDL privato. Dall'entusiasmo trasmesso agli studenti fino a uno sguardo positivo verso il futuro con il motto 'l'obiettivo da raggiungere più bello è sempre il prossimo. Dai metodi tradizionali di insegnamento al canale Youtube www.youtube.com/@didatticaadistanzapertutti con oltre 800 video realizzati dall'autore del podcast

Bloomsbury presents… xGenius: Expected Goals and the Science of Winning Football Matches by James Tippett read by Simon Darwen 'Eye-opening. An essential read for any football fan' – Jamie Carragher A new, expanded and super-charged guide to Expected Goals (xG) analysis from the bestselling...

SHORTLISTED FOR THE BRITISH SOCIETY FOR THE HISTORY OF SCIENCE PRIZE 2025 SHORTLISTED FOR THE NEUMANN PRIZE 2025 WHAT DOES IT MEAN TO COUNT? WHY ARE HUMANS THE ONLY SPECIES ON EARTH THAT CAN DO IT? WHERE DID COUNTING COME FROM? HOW HAS IT SHAPED SOCIETIES ALONG THE WAY? AND WHY DOES IT MATTER?...

Découvrez avec le podcast ENSA&Vous les interviews animées par la communauté étudiante de l'ENSAE Paris (http://www.ensae.fr) pour découvrir les parcours et carrières possibles avec le diplôme de la grande école d'ingénieurs de référence pour la statistique et la science des données, la finance et l’actuariat, mais aussi la modélisation économique et la sociologie quantitative.🎬 Pour avoir un aperçu en images d'une journée passée à l'ENSAE Paris, profitez du vlog d'immersion réalisé (https://youtube.com/watch?v=gP4JbgIkn1w) par Dimitri de Major Prépa, venu visiter ...

Ace your TGPSC exams with expert tips, strategies, and insights. Dive into discussions, current affairs, with top achievers to stay motivated and on track to success in Telangana's public service.Produced by TeluguOne.For Sponsorships and Promotions reach out to us at teluguonepodcasts@gmail.com✨ Contact - +91 9160311880Radio : www.teluguoneradio.comTelugu One : https://www.youtube.com/@teluguoneBhakthi One : https://www.youtube.com/@BhaktiOneKids One : https://www.youtube.com/@kidsoneTori Rj's Adda : https://www.youtube.com/@ToriRJsAddaRead less

A rich, narrative explanation of the mathematics that has brought us machine learning and the ongoing explosion of artificial intelligence Machine learning systems are making life-altering decisions for us: approving mortgage loans, determining whether a tumour is cancerous, or deciding whether...

We are living through a revolution in artificial intelligence that is not slowing down. This major shift is based on simple mathematics, some of which goes back centuries: linear algebra and calculus, the stuff of eighteenth-century mathematics. Indeed by the mid-1850s, a lot of the groundwork was all done. In this enlightening book, Anil Ananthaswamy explains the fundamental maths behind AI, which suggests that the basics of natural and artificial intelligence might follow the same mathematical rules.

A podcast where we tune down the noise of the market and listen to the wider world. Hosted on Acast. See acast.com/privacy for more information.

Welcome to Off the Beaten Math. Join your ingenious hosts, Eric and Allora Novak, as we explore the mathemagical world of numbers. Each episode, we dive into a different constant or concept, uncovering its importance and history across the mathematical landscape. Get ready to kick some serious math!Find us on IG @offthebeatenmathcast

Ведущий физик-теоретик Карло Ровелли обращается к фигуре древнегреческого философа Анаксимандра — автора первой научной концепции мироустройства, — чтобы проследить историю научной мысли. Автор тщательно реконструирует теории Анаксимандра на основе того, что нам известно, обращая особое внимание на их историко-философский контекст. В книге органично переплетаются описания первых концепций мироустройства и размышления видного ученого нашего времени о самой природе научного мышления.

I’m a retired math teacher, and I like the statistics behind things, A LOT. I enjoyed talking to my students about all the ways math was used in the world, but I rarely had a chance to elaborate on those topics. Instead, I had to chug along with the curriculum with a tiny story to catch their attention. But now, I can do the opposite. I can focus on the story while touching on the math. I want to focus on the math that we see in the world from data to science, and societal issues that we see going on around us. How does math play into those decisions. Sports will come up and I do...

Ist es wahrscheinlicher, dass du in einer Bäckerei arbeitest, wenn dein Nachname Bäcker lautet? Wie kannst du hundertprozentig sicher sein, dass du eine Wette gewinnst? Warum blieben so viele Einwohner von Pompeji an Ort und Stelle, als der Vesuv ausbrach? Wie kann ein Atomkrieg verhindert werden? Seit Beginn der Menschheit versuchen wir, vorherzusagen, was die Welt für uns bereithält. Genauso lange liegen wir damit aber auch schon falsch. Von religiösen Orakeln über Wettervorhersagen bis zur Politik – wir sind ständig mit mangelhaften Prognosen konfrontiert.

Every time we choose a route to work, decide whether to go on a second date, or set aside money for a rainy day, we are making a prediction about the future. Yet from the global financial crisis to 9/11 to the Fukushima disaster, we often fail to foresee hugely significant events. In The Signal and the Noise, the New York Times' political forecaster and statistics guru Nate Silver explores the art of prediction, revealing how we can all build a better crystal ball.

Become a better decision-maker and more informed consumer using statistics stories. Stories stimulate our brains to enhance retention and understanding by evoking emotions. They provide context, helping us grasp complex concepts through real-life examples and establish a connection with the information. By transforming data into narratives, we recall and thus apply insights more effectively, enhancing our ability to make more informed decisions. Perfect for the Math-Averse. You don’t need to crunch numbers to make statistics valuable.