{"id":1857,"date":"2019-03-11T19:53:09","date_gmt":"2019-03-11T19:53:09","guid":{"rendered":"https:\/\/www.aiproblog.com\/index.php\/2019\/03\/11\/using-machine-learning-to-improve-subseasonal-climate-forecasting-mit-news\/"},"modified":"2019-03-11T19:53:09","modified_gmt":"2019-03-11T19:53:09","slug":"using-machine-learning-to-improve-subseasonal-climate-forecasting-mit-news","status":"publish","type":"post","link":"https:\/\/www.aiproblog.com\/index.php\/2019\/03\/11\/using-machine-learning-to-improve-subseasonal-climate-forecasting-mit-news\/","title":{"rendered":"Using machine learning to improve subseasonal climate forecasting &#8211; MIT News"},"content":{"rendered":"<p>Author: <\/p>\n<div><a href=\"http:\/\/news.mit.edu\/2019\/using-machine-learning-improve-subseasonal-climate-forecasting-western-us-0311\" target=\"_blank\" rel=\"noopener noreferrer\">Using machine learning to improve subseasonal climate forecasting<\/a>\u00a0\u00a0<font color=\"#6f6f6f\">MIT News<\/font><\/p>\n<p>MIT researchers Judah Cohen and Ernest Fraenkel win first place in three out of four temperature forecasting categories in the Sub-Seasonal Climate Forecast &#8230;<\/p>\n<\/div>\n<p><a href=\"http:\/\/news.mit.edu\/2019\/using-machine-learning-improve-subseasonal-climate-forecasting-western-us-0311\">Go to Source<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Author: Using machine learning to improve subseasonal climate forecasting\u00a0\u00a0MIT News MIT researchers Judah Cohen and Ernest Fraenkel win first place in three out of four [&hellip;] <span class=\"read-more-link\"><a class=\"read-more\" href=\"https:\/\/www.aiproblog.com\/index.php\/2019\/03\/11\/using-machine-learning-to-improve-subseasonal-climate-forecasting-mit-news\/\">Read More<\/a><\/span><\/p>\n","protected":false},"author":1,"featured_media":473,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_bbp_topic_count":0,"_bbp_reply_count":0,"_bbp_total_topic_count":0,"_bbp_total_reply_count":0,"_bbp_voice_count":0,"_bbp_anonymous_reply_count":0,"_bbp_topic_count_hidden":0,"_bbp_reply_count_hidden":0,"_bbp_forum_subforum_count":0,"footnotes":""},"categories":[24],"tags":[],"_links":{"self":[{"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/posts\/1857"}],"collection":[{"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/comments?post=1857"}],"version-history":[{"count":0,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/posts\/1857\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/media\/459"}],"wp:attachment":[{"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/media?parent=1857"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/categories?post=1857"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/tags?post=1857"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}