{"id":554139,"date":"2018-11-29T08:19:33","date_gmt":"2018-11-29T16:19:33","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&p=554139"},"modified":"2018-11-29T10:50:35","modified_gmt":"2018-11-29T18:50:35","slug":"machine-teaching-overview","status":"publish","type":"msr-video","link":"https:\/\/www.microsoft.com\/en-us\/research\/video\/machine-teaching-overview\/","title":{"rendered":"Machine Teaching Overview"},"content":{"rendered":"

Microsoft Research AI shares how machine teaching can revolutionize the way we interact with machines in our daily lives.<\/p>\n

Humankind\u2019s rich diversity is an insurmountable challenge for traditional machine learning. It\u2019s simply not feasible to build predictive models that are customized to each subject area, organization, individual and language with traditional machine learning. Machine learning requires data scientists and large sets of labeled data for each problem. Neither of those exist on the scale we need to make this revolutionary change.<\/p>\n

Machine teaching can bring the power of machine learning to thousands of customer specific problems through products and tools built not only for data scientists, but also developers, professionals and consumers.<\/p>\n

aka.ms\/machineteaching<\/span><\/span> (opens in new tab)<\/span><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

Microsoft Research AI shares how machine teaching can revolutionize the way we interact with machines in our daily lives. Humankind\u2019s rich diversity is an insurmountable challenge for traditional machine learning. It\u2019s simply not feasible to build predictive models that are customized to each subject area, organization, individual and language with traditional machine learning. Machine learning […]<\/p>\n","protected":false},"featured_media":554157,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"footnotes":""},"research-area":[13556],"msr-video-type":[],"msr-locale":[268875],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-554139","msr-video","type-msr-video","status-publish","has-post-thumbnail","hentry","msr-research-area-artificial-intelligence","msr-locale-en_us"],"msr_download_urls":"","msr_external_url":"https:\/\/youtu.be\/3nlxPMpr_JQ","msr_secondary_video_url":"","msr_video_file":"","_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/554139"}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-video"}],"version-history":[{"count":5,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/554139\/revisions"}],"predecessor-version":[{"id":554310,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/554139\/revisions\/554310"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media\/554157"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=554139"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=554139"},{"taxonomy":"msr-video-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video-type?post=554139"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=554139"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=554139"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=554139"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}