{"id":11842,"date":"2021-04-19T11:49:06","date_gmt":"2021-04-19T09:49:06","guid":{"rendered":"http:\/\/flaven.fr\/?post_type=bf_videos_manager&p=11842"},"modified":"2021-12-12T10:21:09","modified_gmt":"2021-12-12T09:21:09","slug":"part-3-predicting-a-passengers-surviving-probability-to-the-titanic-disaster-with-ludwig","status":"publish","type":"bf_videos_manager","link":"https:\/\/flaven.fr\/videos\/part-3-predicting-a-passengers-surviving-probability-to-the-titanic-disaster-with-ludwig\/","title":{"rendered":"Part 3 – Predicting a passenger’s surviving probability to the Titanic disaster with Ludwig"},"content":{"rendered":"

Part 3, this video is part of the post “Using Ludwig, Introduction to Deep Learning”. It presents specifically how to predict a passenger’s surviving probability to the Titanic disaster. I am using Jupyter Notebook to make the presentation and just for fun, I manipulate the CSV predict sample file to survive to the Titanic disaster.<\/p>\n

About Ludwig<\/b>
\nLudwig is a Deep Learning experimentation toolbox based on TensorFlow that does not require coding skills. It is a great opportunity to see under the hood in deep learning and CNN.<\/p>\n","protected":false},"excerpt":{"rendered":"

Part 3, this video is part of the post “Using Ludwig, Introduction to Deep Learning”. It presents specifically how to predict a passenger’s surviving probability… <\/p>\n

Continue reading → Part 3 – Predicting a passenger’s surviving probability to the Titanic disaster with Ludwig<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":11839,"comment_status":"open","ping_status":"closed","template":"","bf_videos_manager_tag":[2707,2668,2685,2756,2673,2752,2755,2754,2706,2784,2790,2672,2690],"bf_videos_manager_cat":[2729,2700,2678,2679,2680],"class_list":["post-11842","bf_videos_manager","type-bf_videos_manager","status-publish","has-post-thumbnail","hentry","bf_videos_manager_tag-agile","bf_videos_manager_tag-ai","bf_videos_manager_tag-anaconda","bf_videos_manager_tag-api","bf_videos_manager_tag-deep-learning","bf_videos_manager_tag-development","bf_videos_manager_tag-learning","bf_videos_manager_tag-learning-by-doing","bf_videos_manager_tag-lockdown","bf_videos_manager_tag-ludwig","bf_videos_manager_tag-machine-learning","bf_videos_manager_tag-python","bf_videos_manager_tag-tensorflow","bf_videos_manager_cat-agile","bf_videos_manager_cat-anaconda","bf_videos_manager_cat-python","bf_videos_manager_cat-tutorials","bf_videos_manager_cat-videos"],"jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/flaven.fr\/happy-api\/wp\/v2\/bf_videos_manager\/11842","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/flaven.fr\/happy-api\/wp\/v2\/bf_videos_manager"}],"about":[{"href":"https:\/\/flaven.fr\/happy-api\/wp\/v2\/types\/bf_videos_manager"}],"author":[{"embeddable":true,"href":"https:\/\/flaven.fr\/happy-api\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/flaven.fr\/happy-api\/wp\/v2\/comments?post=11842"}],"version-history":[{"count":7,"href":"https:\/\/flaven.fr\/happy-api\/wp\/v2\/bf_videos_manager\/11842\/revisions"}],"predecessor-version":[{"id":11864,"href":"https:\/\/flaven.fr\/happy-api\/wp\/v2\/bf_videos_manager\/11842\/revisions\/11864"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/flaven.fr\/happy-api\/wp\/v2\/media\/11839"}],"wp:attachment":[{"href":"https:\/\/flaven.fr\/happy-api\/wp\/v2\/media?parent=11842"}],"wp:term":[{"taxonomy":"bf_videos_manager_tag","embeddable":true,"href":"https:\/\/flaven.fr\/happy-api\/wp\/v2\/bf_videos_manager_tag?post=11842"},{"taxonomy":"bf_videos_manager_cat","embeddable":true,"href":"https:\/\/flaven.fr\/happy-api\/wp\/v2\/bf_videos_manager_cat?post=11842"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}