{"id":4423,"date":"2024-04-10T20:26:28","date_gmt":"2024-04-10T20:26:28","guid":{"rendered":"https:\/\/nextai.co.th\/?p=4423"},"modified":"2024-04-10T20:26:28","modified_gmt":"2024-04-10T20:26:28","slug":"the-different-between-machine-learning-ml-and-artificial-intelligence-ai","status":"publish","type":"post","link":"https:\/\/nextai.co.th\/?p=4423","title":{"rendered":"The Different between machine learning (ML) and artificial intelligence (AI)"},"content":{"rendered":"<p data-sourcepos=\"1:1-1:143\">Here&#8217;s a breakdown of the differences between machine learning (ML) and artificial intelligence (AI), along with how they relate to each other:<\/p>\n<p data-sourcepos=\"3:1-3:32\"><strong>Artificial Intelligence (AI)<\/strong><\/p>\n<ul data-sourcepos=\"5:1-14:0\">\n<li data-sourcepos=\"5:1-5:204\"><strong>The Broad Concept:<\/strong>\u00a0AI is a vast field of computer science focused on creating intelligent machines that can mimic human cognitive functions like reasoning, problem-solving, perception, and learning.<\/li>\n<li data-sourcepos=\"6:1-6:214\"><strong>Goals:<\/strong>\u00a0AI aims to build systems that can perform tasks that would normally require human intelligence, with the ultimate aspiration of creating machines as intelligent as, or surpassing, human capabilities.<\/li>\n<li data-sourcepos=\"7:1-14:0\"><strong>Methods:<\/strong>\u00a0AI encompasses various techniques and subfields including:\n<ul data-sourcepos=\"8:5-14:0\">\n<li data-sourcepos=\"8:5-8:22\">Machine Learning<\/li>\n<li data-sourcepos=\"9:5-9:39\">Natural Language Processing (NLP)<\/li>\n<li data-sourcepos=\"10:5-10:21\">Computer Vision<\/li>\n<li data-sourcepos=\"11:5-11:14\">Robotics<\/li>\n<li data-sourcepos=\"12:5-12:20\">Expert Systems<\/li>\n<li data-sourcepos=\"13:5-14:0\">Search and planning algorithms<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p data-sourcepos=\"15:1-15:25\"><strong>Machine Learning (ML)<\/strong><\/p>\n<ul data-sourcepos=\"17:1-26:0\">\n<li data-sourcepos=\"17:1-17:178\"><strong>A Subset of AI:<\/strong>\u00a0Machine learning is a core component of AI that focuses on algorithms enabling computers to learn and improve from data without being explicitly programmed.<\/li>\n<li data-sourcepos=\"18:1-21:57\"><strong>How it Works:<\/strong>\u00a0ML uses statistical models and algorithms that analyze data to:\n<ul data-sourcepos=\"19:5-21:57\">\n<li data-sourcepos=\"19:5-19:69\">Find patterns that would be too complex for humans to identify.<\/li>\n<li data-sourcepos=\"20:5-20:45\">Make predictions about future outcomes.<\/li>\n<li data-sourcepos=\"21:5-21:57\">Make adaptive decisions without human intervention.<\/li>\n<\/ul>\n<\/li>\n<li data-sourcepos=\"22:1-26:0\"><strong>Types:<\/strong>\u00a0Common machine learning methods include:\n<ul data-sourcepos=\"23:5-26:0\">\n<li data-sourcepos=\"23:5-23:54\">Supervised Learning (learning from labeled data)<\/li>\n<li data-sourcepos=\"24:5-24:64\">Unsupervised Learning (finding patterns in unlabeled data)<\/li>\n<li data-sourcepos=\"25:5-26:0\">Reinforcement Learning (learning by trial and error)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p data-sourcepos=\"27:1-27:14\"><strong>In Summary<\/strong><\/p>\n<ul data-sourcepos=\"29:1-30:0\">\n<li data-sourcepos=\"29:1-30:0\"><strong>AI is the umbrella, ML is a key tool inside:<\/strong>\u00a0Think of AI as the entire field dedicated to creating intelligent systems, while machine learning is one of the primary techniques utilized to achieve that goal.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Here&#8217;s a breakdown of the differences between machine learning (ML) and artificial intelligence (AI), along with how they relate to each other: Artificial Intelligence (AI) The Broad Concept:\u00a0AI is a vast field of computer science focused on creating intelligent machines that can mimic human cognitive functions like reasoning, problem-solving, perception, and learning. Goals:\u00a0AI aims to build systems that can perform &hellip;<\/p>\n","protected":false},"author":1,"featured_media":4424,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[21],"tags":[],"class_list":["post-4423","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-data-science"],"acf":[],"_links":{"self":[{"href":"https:\/\/nextai.co.th\/index.php?rest_route=\/wp\/v2\/posts\/4423","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/nextai.co.th\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/nextai.co.th\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/nextai.co.th\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/nextai.co.th\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=4423"}],"version-history":[{"count":1,"href":"https:\/\/nextai.co.th\/index.php?rest_route=\/wp\/v2\/posts\/4423\/revisions"}],"predecessor-version":[{"id":4425,"href":"https:\/\/nextai.co.th\/index.php?rest_route=\/wp\/v2\/posts\/4423\/revisions\/4425"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/nextai.co.th\/index.php?rest_route=\/wp\/v2\/media\/4424"}],"wp:attachment":[{"href":"https:\/\/nextai.co.th\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=4423"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/nextai.co.th\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=4423"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/nextai.co.th\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=4423"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}