検索キーワード： 数学

Dive into “R Programming: Mastering Data Science and Statistical Computing”, the ultimate guide to one of the most powerful tools in the world of data science. Whether you're a complete beginner or an experienced professional looking to refine your expertise, this book is your gateway to mastering R programming.

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Real Actuarial Women (RAW) is hosted by Lizzie Eason, ACAS. In each episode, we hear unfiltered stories, advice, and all the latest tea from real women or allies in the actuarial profession. The views expressed in this podcast are personal to each participant and are not representative of their respective employers or any organizations they are affiliated with.

What is the best way to think about the world? How often do we consider how our own thinking might impact the way we approach our daily decisions? Could it help or hinder our relationships, our careers, or even our health? As acclaimed mathematician David Sumpter shows, thinking about thinking is something we rarely do, yet it is something science questions all the time. He has spent decades studying what we could all learn from the mindsets of scientists, and Four Ways of Thinking is the result.

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.

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 less bad at pool. Triangles underpin our day-to-day lives and civilization as we know it. In Love Triangle, Matt Parker argues we should all show a lot more love for triangles, along with all the useful trigonometry and geometry they enable.

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.

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

xGenius explores the interplay between analysis, tactics, and decision-making. It seeks to put the sport of football under the microscope with the aim of getting closer to the ultimate truth of what makes players, managers and teams successful. What, ultimately, wins football matches. Packed with examples from the Premier League and beyond, xGenius shows how xG and other performance analysis tools are helping answer previously unanswerable questions.

Think you could be a theoretical physicist, but you need to brush up on your knowledge of relativity first? Want to carry a book on the subway that will make your fellow passengers think you’re totally sophisticated? Great! Then Quantum Physics for Beginners is the book for you.

What has counting meant to different cultures and different individuals? In this book, historian and mathematician Benjamin Wardhaugh explores stories from all over the world and from every period of human history, from the African Stone Age to cyberspace; from Assyrian kings to Chinese peasants. Weaving these histories together, Wardhaugh shows the ways in which counting has been continually reinvented over time, through language, writing, counters and machines.

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

We are living through a revolution in machine learning-powered AI that shows no signs of slowing down. This technology is based on relatively simple mathematical ideas, some of which go back centuries, including linear algebra and calculus, the stuff of seventeenth- and eighteenth-century mathematics. It took the birth and advancement of computer science and the kindling of 1990s computer chips designed for video games to ignite the explosion of AI that we see today. In this enlightening book, Anil Ananthaswamy explains the fundamental math behind machine learning.

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.

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?