{"id":24117,"date":"2021-05-26T14:29:28","date_gmt":"2021-05-26T14:29:28","guid":{"rendered":"https:\/\/www.experfy.com\/blog\/?p=24117"},"modified":"2023-08-19T12:58:52","modified_gmt":"2023-08-19T12:58:52","slug":"scaling-ml-from-0-to-millions-of-users","status":"publish","type":"post","link":"https:\/\/www.experfy.com\/blog\/blog-series\/scaling-ml-from-0-to-millions-of-users\/","title":{"rendered":"Scaling ML from Zero to Millions of Users"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"24117\" class=\"elementor elementor-24117\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-8407ec9 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"8407ec9\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-4db4c6f\" data-id=\"4db4c6f\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-1bb107a elementor-widget elementor-widget-heading\" data-id=\"1bb107a\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Introduction:<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-23a5ffe6 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"23a5ffe6\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-2adfb4a0\" data-id=\"2adfb4a0\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-665a1936 elementor-widget elementor-widget-text-editor\" data-id=\"665a1936\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\n<p>A small number of machine learning models fail quickly, some look promising and demonstrate a level of predictive power. Then testing and deploying them in a production environment is another challenge where they either fail or prove their worth. This series shall demonstrate how to train and scale up ML models from humble beginnings to world dominations.<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Introduction: A small number of machine learning models fail quickly, some look promising and demonstrate a level of predictive power. Then testing and deploying them in a production environment is another challenge where they either fail or prove their worth. This series shall demonstrate how to train and scale up ML models from humble beginnings<\/p>\n","protected":false},"author":1159,"featured_media":24119,"comment_status":"open","ping_status":"open","sticky":false,"template":"blog-series.php","format":"standard","meta":{"content-type":"","footnotes":""},"categories":[963],"tags":[1599,92,437],"ppma_author":[3189],"class_list":["post-24117","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog-series","tag-aiml","tag-machine-learning","tag-machine-learning-engineer"],"authors":[{"term_id":3189,"user_id":1159,"is_guest":0,"slug":"experfy-editorial-team","display_name":"Experfy Editorial Team","avatar_url":"https:\/\/www.experfy.com\/blog\/wp-content\/uploads\/2020\/04\/cropped-Picture1-1-150x150.png","user_url":"https:\/\/www.experfy.com\/blog","last_name":"Editorial Team","first_name":"Experfy","job_title":"","description":""}],"_links":{"self":[{"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/posts\/24117","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/users\/1159"}],"replies":[{"embeddable":true,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/comments?post=24117"}],"version-history":[{"count":11,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/posts\/24117\/revisions"}],"predecessor-version":[{"id":30718,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/posts\/24117\/revisions\/30718"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/media\/24119"}],"wp:attachment":[{"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/media?parent=24117"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/categories?post=24117"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/tags?post=24117"},{"taxonomy":"author","embeddable":true,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/ppma_author?post=24117"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}