{"id":5301,"date":"2021-12-21T06:33:55","date_gmt":"2021-12-21T06:33:55","guid":{"rendered":"https:\/\/www.aiproblog.com\/index.php\/2021\/12\/21\/a-faster-way-to-prepare-time-series-data-with-the-ai-analytics-engine\/"},"modified":"2021-12-21T06:33:55","modified_gmt":"2021-12-21T06:33:55","slug":"a-faster-way-to-prepare-time-series-data-with-the-ai-analytics-engine","status":"publish","type":"post","link":"https:\/\/www.aiproblog.com\/index.php\/2021\/12\/21\/a-faster-way-to-prepare-time-series-data-with-the-ai-analytics-engine\/","title":{"rendered":"A Faster Way to Prepare Time-Series Data with the AI &amp; Analytics Engine"},"content":{"rendered":"<p>Author: Matt Mayo Editor<\/p>\n<div>Many real-world datasets consist of records of events that occur at arbitrary and irregular intervals. These datasets then need to be processed into regular time series for further analysis. We will use the AI &amp; Analytics Engine to illustrate how you can prepare your time-series data in just 1 step.<\/div>\n<p><a href=\"https:\/\/www.kdnuggets.com\/2021\/12\/piexchange-faster-way-prepare-timeseries-data-ai-analytics-engine.html\">Go to Source<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Author: Matt Mayo Editor Many real-world datasets consist of records of events that occur at arbitrary and irregular intervals. These datasets then need to be [&hellip;] <span class=\"read-more-link\"><a class=\"read-more\" href=\"https:\/\/www.aiproblog.com\/index.php\/2021\/12\/21\/a-faster-way-to-prepare-time-series-data-with-the-ai-analytics-engine\/\">Read More<\/a><\/span><\/p>\n","protected":false},"author":1,"featured_media":471,"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":[26],"tags":[],"_links":{"self":[{"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/posts\/5301"}],"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=5301"}],"version-history":[{"count":0,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/posts\/5301\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/media\/468"}],"wp:attachment":[{"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/media?parent=5301"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/categories?post=5301"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/tags?post=5301"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}