--- title: Going Beyond the Case of Black Box AutoML | daily.dev description: AutoML is a tool that automatically selects and optimizes machine learning pipelines based on a given dataset and task. It can be used to improve model... canonical: https://daily.dev/posts/going-beyond-the-case-of-black-box-automl-1bcmnvcxe twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Going Beyond the Case of Black Box AutoML | daily.dev og:description: AutoML is a tool that automatically selects and optimizes machine learning pipelines based on a given dataset and task. It can be used to improve model... og:url: https://daily.dev/posts/going-beyond-the-case-of-black-box-automl-1bcmnvcxe og:image: https://api.daily.dev/og/posts/1BCmnVcxe.png og:image:alt: Going Beyond the Case of Black Box AutoML 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. # Going Beyond the Case of Black Box AutoML **[InfoQ](https://daily.dev/sources/infoq)** · 21 min read · 0 upvotes · 0 comments ## Summary AutoML is a tool that automatically selects and optimizes machine learning pipelines based on a given dataset and task. It can be used to improve model building efficiency and achieve better results. AutoML works by exploring a search space of possible pipeline configurations and using an optimizer to find the best pipelines. Popular AutoML tools include Lale, IBM's auto AI, and Spark MLlib. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [Don’t just attend KubeCon \+ CloudNativeCon, Merge Forward your experience\!](https://daily.dev/posts/don-t-just-attend-kubecon-cloudnativecon-merge-forward-your-experience--l0rpp73x8) · CNCF · 1 upvotes · 0 comments - [Announcing H2 2026 KCDs](https://daily.dev/posts/announcing-h2-2026-kcds-m96goajm1) · CNCF · 1 upvotes · 0 comments - [Two months of Open Community Groups](https://daily.dev/posts/two-months-of-open-community-groups-asf52zhbs) · CNCF · 0 upvotes · 0 comments - [CNCF Unveils Schedule for KubeCon \+ CloudNativeCon Europe 2026](https://daily.dev/posts/cncf-unveils-schedule-for-kubecon-cloudnativecon-europe-2026-ikhcoa5cb) · CNCF · 2 upvotes · 0 comments - [CNCF Debuts KubeCon \+ CloudNativeCon Japan 2026 Schedule](https://daily.dev/posts/cncf-debuts-kubecon-cloudnativecon-japan-2026-schedule-xp5pyudub) · CNCF · 1 upvotes · 0 comments --- Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#data-engineering](https://daily.dev/tags/data-engineering), [#automl](https://daily.dev/tags/automl), [#qcon](https://daily.dev/tags/qcon) [View this post on daily.dev](https://daily.dev/posts/going-beyond-the-case-of-black-box-automl-1bcmnvcxe) ```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":"Going Beyond the Case of Black Box AutoML","url":"https://daily.dev/posts/going-beyond-the-case-of-black-box-automl-1bcmnvcxe","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/going-beyond-the-case-of-black-box-automl-1bcmnvcxe"},"datePublished":"2024-02-22T09:25:02.841Z","dateModified":"2024-05-09T09:06:08.895Z","description":"AutoML is a tool that automatically selects and optimizes machine learning pipelines based on a given dataset and task. 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