{"id":1020,"date":"2022-05-11T09:33:50","date_gmt":"2022-05-11T07:33:50","guid":{"rendered":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/?p=1020"},"modified":"2022-05-11T10:05:25","modified_gmt":"2022-05-11T08:05:25","slug":"machine-learning-in-experimental-sciences-an-event-by-graduate-school-chemistry-and-the-diip","status":"publish","type":"post","link":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/machine-learning-in-experimental-sciences-an-event-by-graduate-school-chemistry-and-the-diip\/","title":{"rendered":"“Machine Learning in Experimental Sciences”: an event by Graduate School Chemistry and the diiP"},"content":{"rendered":"

[et_pb_section bb_built=”1″ next_background_color=”#000000″ inner_width=”auto” inner_max_width=”none”][et_pb_row][et_pb_column type=”3_4″][et_pb_text admin_label=”Intro” _builder_version=”3.22.1″ module_id=”intro” text_text_shadow_horizontal_length=”text_text_shadow_style,%91object Object%93″ text_text_shadow_vertical_length=”text_text_shadow_style,%91object Object%93″ text_text_shadow_blur_strength=”text_text_shadow_style,%91object Object%93″ link_text_shadow_horizontal_length=”link_text_shadow_style,%91object Object%93″ link_text_shadow_vertical_length=”link_text_shadow_style,%91object Object%93″ link_text_shadow_blur_strength=”link_text_shadow_style,%91object Object%93″ ul_text_shadow_horizontal_length=”ul_text_shadow_style,%91object Object%93″ ul_text_shadow_vertical_length=”ul_text_shadow_style,%91object Object%93″ ul_text_shadow_blur_strength=”ul_text_shadow_style,%91object Object%93″ ol_text_shadow_horizontal_length=”ol_text_shadow_style,%91object Object%93″ ol_text_shadow_vertical_length=”ol_text_shadow_style,%91object Object%93″ ol_text_shadow_blur_strength=”ol_text_shadow_style,%91object Object%93″ quote_text_shadow_horizontal_length=”quote_text_shadow_style,%91object Object%93″ quote_text_shadow_vertical_length=”quote_text_shadow_style,%91object Object%93″ quote_text_shadow_blur_strength=”quote_text_shadow_style,%91object Object%93″ header_text_shadow_horizontal_length=”header_text_shadow_style,%91object Object%93″ header_text_shadow_vertical_length=”header_text_shadow_style,%91object Object%93″ header_text_shadow_blur_strength=”header_text_shadow_style,%91object Object%93″ header_2_text_shadow_horizontal_length=”header_2_text_shadow_style,%91object Object%93″ header_2_text_shadow_vertical_length=”header_2_text_shadow_style,%91object Object%93″ header_2_text_shadow_blur_strength=”header_2_text_shadow_style,%91object Object%93″ header_3_text_shadow_horizontal_length=”header_3_text_shadow_style,%91object Object%93″ header_3_text_shadow_vertical_length=”header_3_text_shadow_style,%91object Object%93″ header_3_text_shadow_blur_strength=”header_3_text_shadow_style,%91object Object%93″ header_4_text_shadow_horizontal_length=”header_4_text_shadow_style,%91object Object%93″ header_4_text_shadow_vertical_length=”header_4_text_shadow_style,%91object Object%93″ header_4_text_shadow_blur_strength=”header_4_text_shadow_style,%91object Object%93″ header_5_text_shadow_horizontal_length=”header_5_text_shadow_style,%91object Object%93″ header_5_text_shadow_vertical_length=”header_5_text_shadow_style,%91object Object%93″ header_5_text_shadow_blur_strength=”header_5_text_shadow_style,%91object Object%93″ header_6_text_shadow_horizontal_length=”header_6_text_shadow_style,%91object Object%93″ header_6_text_shadow_vertical_length=”header_6_text_shadow_style,%91object Object%93″ header_6_text_shadow_blur_strength=”header_6_text_shadow_style,%91object Object%93″ z_index_tablet=”500″]<\/p>\n

On July 12th, 2022, the Graduate School Chemistry is organizing its first annual event on the theme of \u201cMachine Learning in Experimental Sciences\u201d in partnership with the diiP (Data Intelligence Institute of Paris).<\/p>\n

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The objective of this event is to provide Master’s and PhD students with an overview of popular Machine Learning (ML) methods developed, and their use in the main experimental research fields such as biology, physics, health, the environment, etc. The ambition is to present the tools and their uses for the analysis of data classically encountered in science (image analysis, statistical data, etc.), so that students understand the benefits, as well as limitations, of the methods, incorporate them in their work, and develop collaborations with specialists in the data analysis field.<\/p>\n<\/div>\n

For more details and the full program, please visit this page<\/a>. <\/em><\/p>\n

Registration is mandatory and may be done here<\/a>.<\/em><\/strong><\/p>\n<\/div>\n<\/div>\n

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\u00c0<\/span> lire aussi<\/h2>\n

[\/et_pb_text][et_pb_blog _builder_version=”3.21″ posts_number=”4″ include_categories=”13″ show_author=”off” show_date=”off” show_pagination=”off” border_width_bottom_fullwidth=”1px” border_color_bottom_fullwidth=”rgba(51,51,51,0.18)” custom_padding=”||50px|” module_id=”page_type_blog” header_level=”h4″ \/][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"

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On July 12th, 2022, the Graduate School Chemistry is organizing its first annual event on the theme of \u201cMachine Learning in Experimental Sciences\u201d in partnership with the diiP (Data Intelligence Institute of Paris). <\/p>\n

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The objective of this event is to provide Master’s and PhD students with an overview of popular Machine Learning (ML)… Lire la suite “Machine Learning in Experimental Sciences”: an event by Graduate School Chemistry and the diiP<\/span><\/a><\/p>\n","protected":false},"author":360,"featured_media":1022,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[1,14],"tags":[],"class_list":["post-1020","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-diip","category-events"],"_links":{"self":[{"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/posts\/1020","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/users\/360"}],"replies":[{"embeddable":true,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/comments?post=1020"}],"version-history":[{"count":8,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/posts\/1020\/revisions"}],"predecessor-version":[{"id":1029,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/posts\/1020\/revisions\/1029"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/media\/1022"}],"wp:attachment":[{"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/media?parent=1020"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/categories?post=1020"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/tags?post=1020"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}