{"id":6788,"date":"2022-04-28T20:47:51","date_gmt":"2022-04-28T20:47:51","guid":{"rendered":"https:\/\/www.tun.com\/courses\/2019\/12\/23\/sequence-models-for-time-series-and-natural-language-processing\/"},"modified":"2022-04-28T20:47:52","modified_gmt":"2022-04-28T20:47:52","slug":"sequence-models-for-time-series-and-natural-language-processing","status":"publish","type":"post","link":"https:\/\/www.tun.com\/courses\/sequence-models-for-time-series-and-natural-language-processing\/google-cloud\/","title":{"rendered":"Sequence Models for Time Series and Natural Language Processing"},"content":{"rendered":"<div class=\"single_post\" style=\"margin-top:16px;\";>\n<div class=\"post-single-content box mark-links entry-content\">\n<div class=\"thecontent\">\n<h2>Description<\/h2>\n<p>This course is an introduction to sequence models and their applications, including an overview of sequence model architectures and how to handle inputs of variable length.<\/p>\n<p>\u2022 Predict future values of a time-series<br \/>\n\u2022 Classify free form text<br \/>\n\u2022 Address time-series and text problems with recurrent neural networks<br \/>\n\u2022 Choose between RNNs\/LSTMs and simpler models<br \/>\n\u2022 Train and reuse word embeddings in text problems<\/p>\n<p>You will get hands-on practice building and optimizing your own text classification and sequence models on a variety of public datasets in the labs we\u2019ll work on together.  <\/p>\n<p>Prerequisites: Basic SQL, familiarity with Python and TensorFlow<\/p>\n<div style=\"height:45px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n<h2 class=\"has-text-align-center\">Price: Enroll For Free!<\/h2>\n<div style=\"height:45px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n<div class=\"wp-block-button aligncenter\"><a class=\"wp-block-button__link has-text-color has-very-light-gray-color has-background has-vivid-red-background-color\" href=\"https:\/\/www.coursera.org\/learn\/sequence-models-tensorflow-gcp\">View Class<\/a><\/div>\n<div style=\"height:55px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n<div class=\"wp-block-columns\">\n<div class=\"wp-block-column\">\n<p class=\"has-text-align-center\"><em><strong>Language:<\/strong> <\/em>English<\/p>\n<\/div>\n<div class=\"wp-block-column\">\n<p class=\"has-text-align-center\"><em><strong>Subtitles<\/strong>: <\/em>English<\/p>\n<\/div>\n<\/div>\n<p style=\"background-color:#496d89\" class=\"has-text-color has-background has-text-align-center has-very-light-gray-color\"><a href=\"https:\/\/www.coursera.org\/learn\/sequence-models-tensorflow-gcp\">Sequence Models for Time Series and Natural Language Processing<strong> &#8211; Google Cloud<\/strong><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Description This course is an introduction to sequence models and their applications, including an overview of sequence model architectures and how to handle inputs of variable length. \u2022 Predict future values of a time-series \u2022 Classify free form text \u2022 Address time-series and text problems with recurrent neural networks \u2022 Choose between RNNs\/LSTMs and simpler [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":19465,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"om_disable_all_campaigns":false,"_uag_custom_page_level_css":"","_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"_uf_show_specific_survey":0,"_uf_disable_surveys":false,"footnotes":""},"categories":[156],"tags":[],"class_list":["post-6788","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-google-cloud"],"aioseo_notices":[],"uagb_featured_image_src":{"full":["https:\/\/www.tun.com\/courses\/wp-content\/uploads\/2019\/12\/Google-Cloudonline-education.png",378,224,false],"thumbnail":["https:\/\/www.tun.com\/courses\/wp-content\/uploads\/2019\/12\/Google-Cloudonline-education-150x150.png",150,150,true],"medium":["https:\/\/www.tun.com\/courses\/wp-content\/uploads\/2019\/12\/Google-Cloudonline-education-300x178.png",300,178,true],"medium_large":["https:\/\/www.tun.com\/courses\/wp-content\/uploads\/2019\/12\/Google-Cloudonline-education.png",378,224,false],"large":["https:\/\/www.tun.com\/courses\/wp-content\/uploads\/2019\/12\/Google-Cloudonline-education.png",378,224,false],"1536x1536":["https:\/\/www.tun.com\/courses\/wp-content\/uploads\/2019\/12\/Google-Cloudonline-education.png",378,224,false],"2048x2048":["https:\/\/www.tun.com\/courses\/wp-content\/uploads\/2019\/12\/Google-Cloudonline-education.png",378,224,false]},"uagb_author_info":{"display_name":"Axiom Pegasus","author_link":"https:\/\/www.tun.com\/courses\/author\/magic\/"},"uagb_comment_info":0,"uagb_excerpt":"Description This course is an introduction to sequence models and their applications, including an overview of sequence model architectures and how to handle inputs of variable length. \u2022 Predict future values of a time-series \u2022 Classify free form text \u2022 Address time-series and text problems with recurrent neural networks \u2022 Choose between RNNs\/LSTMs and simpler&hellip;","featured_media_src_url":"https:\/\/www.tun.com\/courses\/wp-content\/uploads\/2019\/12\/Google-Cloudonline-education.png","_links":{"self":[{"href":"https:\/\/www.tun.com\/courses\/wp-json\/wp\/v2\/posts\/6788","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.tun.com\/courses\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.tun.com\/courses\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.tun.com\/courses\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.tun.com\/courses\/wp-json\/wp\/v2\/comments?post=6788"}],"version-history":[{"count":0,"href":"https:\/\/www.tun.com\/courses\/wp-json\/wp\/v2\/posts\/6788\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.tun.com\/courses\/wp-json\/wp\/v2\/media\/19465"}],"wp:attachment":[{"href":"https:\/\/www.tun.com\/courses\/wp-json\/wp\/v2\/media?parent=6788"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.tun.com\/courses\/wp-json\/wp\/v2\/categories?post=6788"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.tun.com\/courses\/wp-json\/wp\/v2\/tags?post=6788"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}