Empirical Risk Minimization Explained | The Engine Behind Modern AI
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YouTubeAlexander Jung
Empirical Risk Minimization Explained | The Engine Behind Modern AI
What drives most modern machine learning algorithms? In this video, we break down Empirical Risk Minimization (ERM) — the core design principle behind many supervised learning methods. You’ll learn what ERM is, why it’s important, and how it forms the foundation of models like linear regression, neural networks, and support vector ...
40.4K viewsJan 5, 2021
Empirical Risk Minimization Examples
Risk matrices are widely used across industries - from oil and gas to aviation, healthcare, finance, and construction - as the default tool for assessing and prioritizing risks. They are embedded in standards such as ISO, API, and NORSOK and often promoted as “best practice.” Their appeal lies in their simplicity and visual clarity, which are thought to improve communication. The problem is that there is no scientific or empirical evidence showing that risk matrices actually improve risk managem
Risk matrices are widely used across industries - from oil and gas to aviation, healthcare, finance, and construction - as the default tool for assessing and prioritizing risks. They are embedded in standards such as ISO, API, and NORSOK and often promoted as “best practice.” Their appeal lies in their simplicity and visual clarity, which are thought to improve communication. The problem is that there is no scientific or empirical evidence showing that risk matrices actually improve risk managem
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