{"id":756481,"date":"2021-06-23T15:22:29","date_gmt":"2021-06-23T22:22:29","guid":{"rendered":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/?post_type=msr-research-item&#038;p=756481"},"modified":"2021-06-23T15:22:29","modified_gmt":"2021-06-23T22:22:29","slug":"machine-learning-community-standup-fast-and-lightweight-automl-flaml","status":"publish","type":"msr-video","link":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/video\/machine-learning-community-standup-fast-and-lightweight-automl-flaml\/","title":{"rendered":"Machine Learning Community Standup &#8211; Fast and Lightweight AutoML (FLAML)"},"content":{"rendered":"<p>On this week&#8217;s standup our guest provides an introduction to Fast and Lightweight AutoML (FLAML), a lightweight and customizable library from Microsoft Research that automatically finds machine learning models in a fast and efficient manner.<\/p>\n<p>Community Links: https:\/\/www.theurlist.com\/mlnet-standup-2021-06-23<\/p>\n<p>Featuring: Chi Wang<\/p>\n<p>Get your questions answered on the Microsoft Q&A for .NET &#8211; https:\/\/aka.ms\/dotnetqa<br \/>\n\u200b<br \/>\nLearn .NET with free self-guided learning from Microsoft Learn: http:\/\/aka.ms\/learndotnet<\/p>\n<p>#AutoML #MachineLearning #Tooling<\/p>\n","protected":false},"excerpt":{"rendered":"<p>On this week&#8217;s standup our guest provides an introduction to Fast and Lightweight AutoML (FLAML), a lightweight and customizable library from Microsoft Research that automatically finds machine learning models in a fast and efficient manner. Community Links: https:\/\/www.theurlist.com\/mlnet-standup-2021-06-23 Featuring: Chi Wang Get your questions answered on the Microsoft Q&A for .NET &#8211; https:\/\/aka.ms\/dotnetqa \u200b Learn [&hellip;]<\/p>\n","protected":false},"featured_media":756484,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr_hide_image_in_river":0,"footnotes":""},"research-area":[13556,13563],"msr-video-type":[],"msr-locale":[268875],"msr-post-option":[],"msr-session-type":[],"msr-impact-theme":[],"msr-pillar":[],"msr-episode":[],"msr-research-theme":[],"class_list":["post-756481","msr-video","type-msr-video","status-publish","has-post-thumbnail","hentry","msr-research-area-artificial-intelligence","msr-research-area-data-platform-analytics","msr-locale-en_us"],"msr_download_urls":"","msr_external_url":"https:\/\/youtu.be\/euXpDYGgkGM","msr_secondary_video_url":"","msr_video_file":"","_links":{"self":[{"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/756481","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-video"}],"about":[{"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-video"}],"version-history":[{"count":1,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/756481\/revisions"}],"predecessor-version":[{"id":756490,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/756481\/revisions\/756490"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/media\/756484"}],"wp:attachment":[{"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/media?parent=756481"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=756481"},{"taxonomy":"msr-video-type","embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-video-type?post=756481"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=756481"},{"taxonomy":"msr-post-option","embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-post-option?post=756481"},{"taxonomy":"msr-session-type","embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-session-type?post=756481"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=756481"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=756481"},{"taxonomy":"msr-episode","embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-episode?post=756481"},{"taxonomy":"msr-research-theme","embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-research-theme?post=756481"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}