Evolving Linux Foundation Project Management in Response to Upcoming EU Regulation
Explore how Linux Foundation adapts project management to comply with upcoming EU regulations, ensuring continued innovation and collaboration.
Beyond Interpretability: An Interdisciplinary Approach to Communicate Machine Learning Outcomes
Explore an interdisciplinary approach to Explainable AI, moving beyond technical interpretations to enhance AI interpretability through socio-technical perspectives and academic-industry collaboration.
経済史２：国際政治経済学の理論・歴史・政策 - 第1回
Discover 国際政治経済学の基礎理論と歴史的展開について、理論的枠組みと実践的な政策分析を通じて学び、グローバル経済の複雑な相互関係を理解する。
経済史２：国際政治経済学の理論・歴史・政策 - 第1回
Discover 国際政治経済学の基礎理論と歴史的展開を通じて、現代の経済政策への理解を深める機会を提供する講義シリーズの導入部分。
サイバー空間における民主政と僭主政 - 社会経済学入門 第14回
Explore the complex dynamics of democracy and tyranny in cyberspace, examining Kojève-Strauss debates and Confucian democracy's role in modern digital governance and international politics.
社会経済学入門 - 国際経営とテクノロジー企業家の研究 - 第5回
Explore international business leadership through profiles of tech giants Elon Musk, Jeff Bezos, and Jack Ma, while examining their influences, recommended sci-fi works, and the Fed's monetary policies.
デジタル通貨 - ビットコイン、リブラ、中央銀行デジタル通貨、デジタル人民元の比較 - 第8回
Explore the evolving landscape of digital currencies, from Bitcoin to Libra, G7 central bank initiatives, and China's digital yuan, examining their impact on global monetary systems.
Human and Animal Wisdom: Birds of Wisdom from Aesop to Hegel - Chapter 2
Explore the philosophical perspectives on avian wisdom through history, from Aesop's fables to Hegel's interpretations, examining the relationship between human and animal intelligence.
Power of Storytelling - Transforming Lives Through Expression
Discover how embracing your inner storyteller can transform your life in this hilarious Marathi talk on the power of storytelling and rich vocabulary to express emotions.
君に挑戦は勧めない - 高校生起業家の視点から
高校生起業家が語る、挑戦を勧めない理由と社会実装への取り組み。AIやアルゴリズムの実用化を目指す若き経営者の視点から、現代の課題に迫る。
自分らしく生きること - 個性と自己実現の探求
自己の捉え方を探求し、世界を飛び回る若き科学者の経験から学ぶ。多様な活動を通じて得た洞察を共有し、自分らしい生き方を見出すヒントを提供。
Sizin Süper Gücünüz Ne?
Hayallerinize inanarak risk almanın ve cesur adımlar atmanın gücünü keşfedin. Başarılı bir girişimcinin deneyimleriyle, azmin ve tutkunun başarıya giden yoldaki rolünü öğrenin.
Raízes de Resistência: A História que os Livros Não Contam
Explore a força cultural e educacional do Quilombo São José da Serra através das experiências de Luciene Estevão, revelando histórias de resistência e superação não contadas nos livros.
『挑戦』で世界を広げる - Expanding Your World Through Challenges
挑戦を通じて世界を広げる方法を探求。教育インタ ーン、吹奏楽プロジェクト、無料塾の立ち上げなど、多様な活動から得た洞察を共有し、自己成長と社会貢献の可能性を示す。
Confidence Intervals for a Population Mean
Learn to construct, interpret, and apply confidence intervals for population means using Z and t methods, exploring assumptions and sample size determination.
Can We Trust Maths? - With Kit Yates
Explore the impact of mathematics on real-world issues, from medical diagnoses to crime rates, and learn to critically evaluate its use in various contexts for more informed decision-making.
Statistical Rethinking 2023 - Multilevel Adventures
Explore multilevel modeling techniques for analyzing clustered data, focusing on varying confounds, district-level effects, and urban-rural differences in Bangladesh fertility studies.
Perceptual Organization From a Bayesian Point of View
Explore Bayesian approach to perceptual organization, examining how the visual system groups images into distinct units through inverse inference and mixture estimation techniques.
Sex and Marriage Theorems
Explore mathematical theorems on stable marriages and debunk sex statistics myths. Discover how mathematicians can earn Nobel-like recognition through innovative problem-solving.
Development of Intelligence - Josh Tenenbaum: Bayesian Inference
Explore Bayesian inference and cognitive neuroscience with Josh Tenenbaum, delving into AI challenges, scene understanding, and advanced mathematical concepts for intelligence development.
Bayesian Inference in Generative Models
Explore approximate Bayesian inference methods, including sampling-based techniques and variational inference, with hands-on exercises in implementing algorithms and using probabilistic programming languages.