{"id":244801,"date":"2021-08-18T10:14:48","date_gmt":"2021-08-18T10:14:48","guid":{"rendered":"https:\/\/imarticus.org\/?p=244801"},"modified":"2024-03-22T10:40:35","modified_gmt":"2024-03-22T10:40:35","slug":"master-the-skills-of-machine-learning-and-be-successful","status":"publish","type":"post","link":"https:\/\/imarticus.org\/blog\/master-the-skills-of-machine-learning-and-be-successful\/","title":{"rendered":"Master The Skills Of Machine Learning And Be Successful!"},"content":{"rendered":"<p><strong>It\u2019s a big deal<\/strong>: Machine Learning is the rave of the moment. Tons of companies are going all out to hire competent engineers, as ML is gradually becoming the brain behind business intelligence. Through it, businesses are able to master consumers\u2019 preferences thereby increasing profits.<\/p>\n<p>&nbsp;<\/p>\n<p>In 2006, Netflix announced a prize of\u00a0<strong>$1 million<\/strong>\u00a0to the first person to improve the accuracy of its,\u00a0<strong>recommendation system by 10%<\/strong>.<\/p>\n<p>The prize money serves as proof of the relevance placed on ML. Also, Netflix\u2019s anticipation of substantial profits through a slight improvement in the accuracy of its recommendations.<\/p>\n<p><strong>It\u2019s closely linked to data science<\/strong>: Just as humans learn from experience,\u00a0<em>ML systems learn from data<\/em>. Thus,\u00a0many ML engineers are made to wear two hats (machine learning engineering and data science) while undertaking their daily work , which is arguably a good thing.<\/p>\n<p>As you\u00a0should know,\u00a0<strong>data science is rated as the sexiest job of the 21st century<\/strong>. Learning ML would make you more knowledgeable in data science and thus more attractive in the labor market.<\/p>\n<p><strong>To become unwary of the dangers of AI<\/strong>: Many things have been said about AI and whether or not it could\u00a0really snatch jobs. Fortunately, however,\u00a0knowledge of machine learning\u00a0may take you a step towards protection from any predicted dangerous outcome of mass scale AI implementation, because, as of today, most systems are built by humans. Also,\u00a0there\u2019s\u00a0will be\u00a0a positive demand of engineers, come what may.<\/p>\n<p>Interested in learning some cool Machine Learning already? Then you are at the right place!<\/p>\n<p>Enroll for India\u2019s Best <strong>Machine Learning + Artificial Intelligence Certification Program<\/strong>. It has the following things to offer:<\/p>\n<ol>\n<li>Teaches you\u00a0<strong>Deep Learning<\/strong>\u00a0as well. Both theory and projects<\/li>\n<li>Prepares you for the\u00a0<strong>real-time job<\/strong>\u00a0of a Machine Learning Engineer<\/li>\n<li>Teaches\u00a0you all the\u00a0<strong>required tools<\/strong><\/li>\n<li>Helps you\u00a0<strong>build projects<\/strong>\u00a0required for Machine Learning + Deep Learning<\/li>\n<li>Also\u00a0gets you an\u00a0<strong>internship<\/strong>\u00a0(if you are a student)<\/li>\n<li>It also offers\u00a0<strong>guaranteed interview assistance<\/strong> after graduation from the course<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p>It\u2019s a big deal: Machine Learning is the rave of the moment. Tons of companies are going all out to hire competent engineers, as ML is gradually becoming the brain behind business intelligence. Through it, businesses are able to master consumers\u2019 preferences thereby increasing profits. &nbsp; In 2006, Netflix announced a prize of\u00a0$1 million\u00a0to the [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":244302,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_mo_disable_npp":"","_lmt_disableupdate":"no","_lmt_disable":"","footnotes":""},"categories":[23],"tags":[2506],"class_list":["post-244801","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-analytics","tag-master-skills-of-machine-learning"],"acf":[],"aioseo_notices":[],"modified_by":"Imarticus Learning","_links":{"self":[{"href":"https:\/\/imarticus.org\/blog\/wp-json\/wp\/v2\/posts\/244801","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/imarticus.org\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/imarticus.org\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/imarticus.org\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/imarticus.org\/blog\/wp-json\/wp\/v2\/comments?post=244801"}],"version-history":[{"count":1,"href":"https:\/\/imarticus.org\/blog\/wp-json\/wp\/v2\/posts\/244801\/revisions"}],"predecessor-version":[{"id":261406,"href":"https:\/\/imarticus.org\/blog\/wp-json\/wp\/v2\/posts\/244801\/revisions\/261406"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/imarticus.org\/blog\/wp-json\/wp\/v2\/media\/244302"}],"wp:attachment":[{"href":"https:\/\/imarticus.org\/blog\/wp-json\/wp\/v2\/media?parent=244801"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/imarticus.org\/blog\/wp-json\/wp\/v2\/categories?post=244801"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/imarticus.org\/blog\/wp-json\/wp\/v2\/tags?post=244801"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}