--- title: De-biasing Treatment Effects with Double Machine Learning description: This post explores the integration of causal reasoning into machine learning models and focuses on de-biasing treatment effects with Double Machine Learning... canonical: https://daily.dev/posts/de-biasing-treatment-effects-with-double-machine-learning-adcy9yrnf twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: De-biasing Treatment Effects with Double Machine Learning | daily.dev og:description: This post explores the integration of causal reasoning into machine learning models and focuses on de-biasing treatment effects with Double Machine Learning... og:url: https://daily.dev/posts/de-biasing-treatment-effects-with-double-machine-learning-adcy9yrnf og:image: https://api.daily.dev/og/posts/ADCY9yRnF.png og:image:alt: De-biasing Treatment Effects with Double Machine Learning 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. # De-biasing Treatment Effects with Double Machine Learning **[Medium](https://daily.dev/sources/medium_js)** · 10 min read · 0 upvotes · 0 comments ## Summary This post explores the integration of causal reasoning into machine learning models and focuses on de-biasing treatment effects with Double Machine Learning (DML). It explains what Average Treatment Effects (ATE) are and the challenges of estimating ATE using Linear Regression. The post then introduces Double Machine Learning and its use in estimating ATE. It provides a comparison between Linear Regression and DML, showing that DML provides less biased estimates. The post also mentions other causal methods such as Propensity score matching, S-Learner, T-Learner, Doubly-Robust Learner, and Instrument variable learner. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: --- Tags: [#linear-regression](https://daily.dev/tags/linear-regression) [View this post on daily.dev](https://daily.dev/posts/de-biasing-treatment-effects-with-double-machine-learning-adcy9yrnf) ```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":"De-biasing Treatment Effects with Double Machine Learning","url":"https://daily.dev/posts/de-biasing-treatment-effects-with-double-machine-learning-adcy9yrnf","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/de-biasing-treatment-effects-with-double-machine-learning-adcy9yrnf"},"datePublished":"2024-04-05T16:30:15.387Z","dateModified":"2024-05-09T09:21:59.549Z","description":"This post explores the integration of causal reasoning into machine learning models and focuses on de-biasing treatment effects with Double Machine Learning...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/ad76aaf76213d86fd46e52588fa58c69?_a=AQAEufR","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/ad76aaf76213d86fd46e52588fa58c69?_a=AQAEufR","isAccessibleForFree":true,"articleSection":"Medium","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":"Medium","logo":"https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/medium","url":"https://daily.dev/sources/medium_js"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/de-biasing-treatment-effects-with-double-machine-learning-adcy9yrnf","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":0},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"linear-regression","timeRequired":"PT10M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"Medium","item":"https://daily.dev/sources/medium_js"},{"@type":"ListItem","position":3,"name":"De-biasing Treatment Effects with Double Machine Learning"}]} ```