検索キーワード： 数学

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！

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://...

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.

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=...

＜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　　　→...

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.

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.

＼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

待望の数学系Podcast٩( ᐛ )و 人よりちょっと数学を使いこなしてきたゆとと、数学の雑学やクイズを楽しむラジオです。高IQのくせにぜんぜん間違ってたり、いい感じにひらめいたりする思考プロセスをそのままお届けします。 ※番組名を「ゆる数学ラジオ」から「ゆるい数学脳トレラジオ」に変更しております。 ▽友人との2人数学トーク「ゆる数学ラジオ」はこちら ・Spotify https://spoti.fi/3or1hSE ・Apple https://apple.co/35Sgnue ▽その他ゆとが...

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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.

Are you new to Programming? Do you have little to 'zero' experience with computer programming? Do you want to quickly learn the basics in Python programming? If your answer is 'yes' to all the above, then this audiobook is for you. It will explain in clear-concise detail the fundamentals of python programming so that you can begin to write your own Python programs.

If you've ever sought a job or hired someone, applied to college or guided your child into a good kindergarten, asked someone out on a date or been asked out, you've participated in a kind of market. Most of the study of economics deals with commodity markets, where the price of a good connects sellers and buyers. But what about other kinds of "goods," like a spot in the Yale freshman class or a position at Google?

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.

Vaclav Smil's mission is to make facts matter. An environmental scientist, policy analyst, and a hugely prolific author, he is Bill Gates' go-to guy for making sense of our world. In Numbers Don't Lie, Smil answers questions such as: What's worse for the environment - your car or your phone? How much do the world's cows weigh (and what does it matter)? And what makes people happy?

Harvard geometer and Fields medalist Shing-Tung Yau has provided a mathematical foundation for string theory, offered new insights into black holes, and mathematically demonstrated the stability of our universe. In this autobiography, Yau reflects on his improbable journey to becoming one of the world’s most distinguished mathematicians. With complicated ideas explained for a broad audience, listeners not only get insights into the life of an eminent mathematician, but also an accessible way to understand advanced and highly abstract concepts in mathematics and theoretical physics.

Are you fascinated by the laws of nature, quantum physics, and its basic concepts that seem meaningless? Quantum mechanics is a field that attempts to understand the behavior of subatomic objects using mathematical notions. The book explains uncertainty and time dependence by further elaborating on the principles of quantum states. It also describes the entanglement of particle and wave states, thereby offering interested listeners the possibility of understanding physics at a slower tempo.

Under the aegis of machine learning in our data-driven machine age, computers are programming themselves and learning about - and solving - an extraordinary range of problems, from the mundane to the most daunting. Today it is machine learning programs that enable Amazon and Netflix to predict what users will like, Apple to power Siri's ability to understand voices, and Google to pilot cars.