--- title: Machine Learning Blog | ML@CMU | Carnegie Mellon University description: This post discusses the use of linear regression with regularization and the challenges of setting the regularization parameters. It introduces the concept of... canonical: https://daily.dev/posts/machine-learning-blog-ml-cmu-carnegie-mellon-university-9bh8ft513 twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Machine Learning Blog | ML@CMU | Carnegie Mellon University | daily.dev og:description: This post discusses the use of linear regression with regularization and the challenges of setting the regularization parameters. It introduces the concept of... og:url: https://daily.dev/posts/machine-learning-blog-ml-cmu-carnegie-mellon-university-9bh8ft513 og:image: https://api.daily.dev/og/posts/9bH8FT513.png og:image:alt: Machine Learning Blog | ML@CMU | Carnegie Mellon University og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Machine Learning Blog | ML@CMU | Carnegie Mellon University **[ML CMU](https://daily.dev/sources/mlcmu)** · 15 min read · 2 upvotes · 0 comments ## Summary This post discusses the use of linear regression with regularization and the challenges of setting the regularization parameters. It introduces the concept of data-driven algorithm design and provides sample complexity guarantees for learning the optimal parameters. The post also explores the extension to binary classification and kernel regression. The research opens up possibilities for tuning learnable parameters in continuous optimization problems. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: --- Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#linear-regression](https://daily.dev/tags/linear-regression) [View this post on daily.dev](https://daily.dev/posts/machine-learning-blog-ml-cmu-carnegie-mellon-university-9bh8ft513) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Machine Learning Blog | ML@CMU | Carnegie Mellon University","url":"https://daily.dev/posts/machine-learning-blog-ml-cmu-carnegie-mellon-university-9bh8ft513","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/machine-learning-blog-ml-cmu-carnegie-mellon-university-9bh8ft513"},"datePublished":"2024-04-13T03:26:43.678Z","dateModified":"2024-05-09T08:58:27.770Z","description":"This post discusses the use of linear regression with regularization and the challenges of setting the regularization parameters. It introduces the concept of...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/3c804e1a67af814975d6121ccf6a36be?_a=AQAEufR","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/3c804e1a67af814975d6121ccf6a36be?_a=AQAEufR","isAccessibleForFree":true,"articleSection":"ML CMU","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"ML CMU","logo":"https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/f6a0448c0a90422d9a19c706a926c0ad","url":"https://daily.dev/sources/mlcmu"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/machine-learning-blog-ml-cmu-carnegie-mellon-university-9bh8ft513","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":2},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"machine-learning,linear-regression","timeRequired":"PT15M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"ML CMU","item":"https://daily.dev/sources/mlcmu"},{"@type":"ListItem","position":3,"name":"Machine Learning Blog | ML@CMU | Carnegie Mellon University"}]} ```