検索キーワード： 数学

仕事も勉強も！　「小学校の算数だけで大丈夫！」偏差値35から東大合格、シリーズ43万部！◆「1/3で割る」の意味、わかりますか？◆たとえば「6÷3」を考えてみましょう。

複雑系は、科学が築きあげてきた「近代のパラダイム」を根底から覆した。人間の予想とはかけ離れた、しかし自然のなんらかの真理を表している複雑系が、科学の王道からこぼれ落ちた人々によって発見されていくさまを…

ペンローズが追い求めた「驚きの図形」が見つかった！世界中の数学ファンを熱狂させたペンローズ・タイルの発表（1974年）から半世紀──。

統計・確率・期待値・平均値など、ビジネスでも使える「算数の基礎」を学び直し。数的思考をアップさせ、数字が読める大人になる！

お笑い芸人と数学教師の二刀流で活躍中のタカタ先生が算数が「不安」なあなたを算数「ファン」に変えちゃう番組です。 是非お聴きいただき、お子さんへ算数の楽しさを伝えてくださいね！ 質問や感想も随時受付中！ Xにて「 #算数わくわく」でポストしてください。 番組ホームページ　https://rkb.jp/radio/wakuwaku/ タカタ先生X　https://x.com/takatasenseiw LINEオープンチャット　https://line.me/ti/g2/5B_2SEri23uXODijVnox7npeJ7MXDnxlbGqDgQ?utm_source=invitation&utm_medium=...

This audiobook is about luck, or more precisely, how we perceive and deal with luck in life and business. It is already a landmark work, and its title has entered our vocabulary. In its second edition, Fooled by Randomness is now a cornerstone for anyone interested in random outcomes.

Neste livro que já se tornou um clássico, David Spiegelhalter — um dos maiores estatísticos da atualidade — combina a visão incomparável de um especialista com o entusiasmo de um aficionado e oferece um verdadeiro guia para explorarmos a arte dessa ciência que é muito mais do que um ramo da matemática. Em A arte da estatística, David Spiegelhalter utiliza a resolução de questões do mundo real como ponto de partida para introduzir conceitos estatísticos, dos simples aos mais complexos, sempre com notório didatismo.

The MT talk podcast is a space for conversations about mathematics teaching, based on articles published in Mathematics Teaching, the journal of the Association of Teachers of Mathematics.Led by friends and former colleagues Elizabeth Bridgett, Lisa Coe, Fin McLaughlin and Jay Timotheus, each episode features discussion about a classic and a recent article from MT.

Thinking Like a Mathematician: Unlocking Logic, Probability, and Problem Solving for Everyday Life is your guide to mastering the art of mathematical thinking—not just for solving equations, but for navigating the complexities of life with clarity and confidence. Whether you're making decisions under uncertainty, analyzing patterns in data, or simply trying to approach challenges with a sharper mind, this book reveals how the principles of mathematics can transform the way you think.

＼Apple Podcast数学カテゴリで「1位」獲得！／ 東進ハイスクール・山之内聖拡先生＆アシスタントのヒロが、みなさんの勉強の悩みに答えます！聞いてほしい悩みがある人は、次のフォーム、もしくはコメントやTwitterで教えてくださいね！ ●質問フォーム https://forms.gle/dD3oE5tcQ7fmDD4j7

ApplePodcast数学1位。数学ナビゲーターしみに、理系出身文系就職のゆとがナビゲートされちゃう数学ラジオです。たまにゆとが話し手になるゆる物理学ラジオやゆるプログラミングラジオ。だいたい月2,3で配信中！ ネタ自体はヨビノリのたくみさん等が取り扱っているものも多いですが、音声ならではのトークでお届けしています٩( ᐛ )و ▽ 番組へのサポート https://bit.ly/yurusugaku-membership ▽ 公式サイト https://yuru-sugaku.simple.ink/ ▽ お便り https://...

The aim of this book is to explain, carefully but not technically, the differences between advanced, research-level mathematics and the sort of mathematics we learn at school. The most fundamental differences are philosophical, and listeners of this book will emerge with a clearer understanding of paradoxical-sounding concepts such as infinity, curved space, and imaginary numbers. The first few chapters are about general aspects of mathematical thought.

＜概要＞ 数学は、自然の法則を表現するための美しい言語です。 このポッドキャストでは、数学の基礎から応用まで様々なテーマを取り扱い、数学の魅力をお伝えします。数学が好きな人も、苦手意識を持っている人も、ぜひ数学の魅力に触れてみてください。 ＜初めての方へ＞ 数学沼ラジオのトピックレベルを知りたい場合　→　#1 みんな知ってる数学をさらに深堀りしたい場合　→　#6 日常生活の中でもっと数学を感じたい場合　　　→...

ニューヨーク・タイムズベストセラー！テクノロジーの加速度的な進歩による人間社会の変化を予測して、ことごとく的中させてきたカーツワイルの最新話題作が、ついに日本上陸。彼が予測するAIが人間の知性を超える2029年はあと5年後に迫っている。

Nearly a hundred years after its publication, Kurt Gödel's famous proof that every mathematical system must contain propositions that are true - yet never provable - continues to unsettle mathematics, philosophy, and computer science. Yet unlike Einstein, with whom he formed a warm and abiding friendship, Gödel has long escaped all but the most casual scrutiny of his life.

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.

Math has a reputation for being inaccessible. People think that it requires a special gift or that comprehension is a matter of genes. Yet, the greatest mathematicians throughout history, from Rene Descartes to Alexander Grothendieck, have insisted that this is not the case.

Levitt and co-author Stephen J. Dubner show that economics is, at root, the study of incentives: how people get what they want, or need, especially when other people want or need the same thing. In Freakonomics, they explore the hidden side of...well, everything. The inner working of a crack gang...the truth about real-estate agents...the secrets of the Klu Klux Klan. What unites all these stories is a belief that the modern world is even more intriguing than we think. All it takes is a new way of looking, and Freakonomics will redefine the way we view the modern world.

You may have watched hundreds of episodes of The Simpsons (and its sister show Futurama) without ever realising that they contain enough maths to form an entire university course. In The Simpsons and Their Mathematical Secrets, Simon Singh explains how the brilliant writers, some of the mathematicians, have smuggled in mathematical jokes throughout the cartoon’s 25-year history, exploring everything from p to Mersenne primes, from Euler’s equation to the unsolved riddle of P vs. NP, from perfect numbers to narcissistic numbers and much more.

In A Mind for Numbers, Dr. Oakley lets us in on the secrets to learning effectively - secrets that even dedicated and successful students wish they’d known earlier. Contrary to popular belief, math requires creative, as well as analytical, thinking. Most people think that there’s only one way to do a problem, when in actuality, there are often a number of different solutions - you just need the creativity to see them.