{"id":9111,"date":"2023-07-03T20:51:28","date_gmt":"2023-07-03T18:51:28","guid":{"rendered":"https:\/\/www.eledia.org\/eledia-unitn\/?post_type=news&p=9111"},"modified":"2023-07-03T20:51:29","modified_gmt":"2023-07-03T18:51:29","slug":"info-about-the-2023-phd-summer-school-on-machine-learning-ai-methods","status":"publish","type":"news","link":"https:\/\/www.eledia.org\/eledia-unitn\/news\/info-about-the-2023-phd-summer-school-on-machine-learning-ai-methods\/","title":{"rendered":"Info about the 2023 PhD Summer School on “Machine Learning & AI Methods”"},"content":{"rendered":"\n
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? NEW 2023 PhD SUMMER SCHOOL ON\u00a0#AI<\/a> AND #machinelearning<\/a>! ?

The\u00a0#ELEDIA<\/a>\u00a0Research Center is pleased to announce the 2023 PhD Summer School on “Machine Learning & AI Methods: Theory, Techniques, and Advanced Engineering Applications”!

The course is set to take place on September 04-08, 2023, in Trento, Italy. Both\u00a0#onsite<\/a>\u00a0and\u00a0#online<\/a>\u00a0attendance options are available!

The course aims at providing a solid background knowledge on AI and ML, with a focus on recent and competitive methodologies for the efficient and robust solution of both classification and regression problems in advanced engineering applications. Applicative examples including exercises (in MATLAB) will corroborate the theoretical concepts.

? Find complete information about the summer school and registration details at:\u00a0
https:\/\/lnkd.in\/d_vb2C69<\/a>

? Course flyer:\u00a0https:\/\/lnkd.in\/dPcW4k83<\/a>

For any inquiries or further details, contact us at\u00a0summer-schools@eledia.org<\/a>

Universit\u00e0 di Trento<\/a>\u00a0UniTrento – DICAM<\/a>\u00a0#PhD<\/a>\u00a0#SummerSchool<\/a>\u00a0#ML<\/a> #machinelearning<\/a> #artificialintelligence<\/a> #EngineeringEducation<\/a> \u00a0#LearningOpportunity<\/a> \u00a0#TrentoItaly<\/a>\u00a0 #DICAM<\/a> \u00a0#engineering<\/a>\u00a0#research<\/a>\u00a0#schools<\/a>\u00a0#design<\/a>\u00a0#algorithms<\/a><\/p>\n","protected":false},"author":1,"featured_media":9112,"template":"","format":"standard","meta":{"footnotes":""},"tags":[339],"news_status":[],"news_topic":[],"class_list":["post","post-type","post-9111","news","type-news","status-publish","format-standard","has-post-thumbnail","hentry","tag-eledia-2",""],"acf":[],"_links":{"self":[{"href":"https:\/\/www.eledia.org\/eledia-unitn\/wp-json\/wp\/v2\/news\/9111","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.eledia.org\/eledia-unitn\/wp-json\/wp\/v2\/news"}],"about":[{"href":"https:\/\/www.eledia.org\/eledia-unitn\/wp-json\/wp\/v2\/types\/news"}],"author":[{"embeddable":true,"href":"https:\/\/www.eledia.org\/eledia-unitn\/wp-json\/wp\/v2\/users\/1"}],"version-history":[{"count":2,"href":"https:\/\/www.eledia.org\/eledia-unitn\/wp-json\/wp\/v2\/news\/9111\/revisions"}],"predecessor-version":[{"id":9114,"href":"https:\/\/www.eledia.org\/eledia-unitn\/wp-json\/wp\/v2\/news\/9111\/revisions\/9114"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.eledia.org\/eledia-unitn\/wp-json\/wp\/v2\/media\/9112"}],"wp:attachment":[{"href":"https:\/\/www.eledia.org\/eledia-unitn\/wp-json\/wp\/v2\/media?parent=9111"}],"wp:term":[{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.eledia.org\/eledia-unitn\/wp-json\/wp\/v2\/tags?post=9111"},{"taxonomy":"news_status","embeddable":true,"href":"https:\/\/www.eledia.org\/eledia-unitn\/wp-json\/wp\/v2\/news_status?post=9111"},{"taxonomy":"news_topic","embeddable":true,"href":"https:\/\/www.eledia.org\/eledia-unitn\/wp-json\/wp\/v2\/news_topic?post=9111"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}