{"id":9184,"date":"2024-01-08T07:58:58","date_gmt":"2024-01-08T08:58:58","guid":{"rendered":"https:\/\/ipc.cv\/?p=9184"},"modified":"2024-11-03T04:56:08","modified_gmt":"2024-11-03T05:56:08","slug":"artificial-intelligence-ai-vs-machine-learning","status":"publish","type":"post","link":"https:\/\/ipc.cv\/en\/artificial-intelligence-ai-vs-machine-learning\/","title":{"rendered":"Artificial Intelligence AI vs  Machine Learning Columbia AI"},"content":{"rendered":"<p><h1>Artificial Intelligence vs  Machine Learning: Whats the Difference?<\/h1>\n<\/p>\n<p><img decoding=\"async\" class='wp-post-image' style='display: block;margin-left:auto;margin-right:auto;' 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\" width=\"303px\" alt=\"ai and ml difference\"\/><\/p>\n<p><p>Much of that has to do with the wide availability  of GPUs that make parallel processing ever faster, cheaper, and more powerful. It also has to do with the simultaneous one-two punch of practically infinite storage and a flood of data of every stripe (that whole Big Data movement) \u2013 images, text, transactions, mapping data, you name it. As you can judge from the title, semi-supervised learning means that the input data is a mixture of labeled and unlabeled samples. Features are important pieces of data that work as the key to the solution of the task.<\/p>\n<\/p>\n<p><p>If AI is when a computer can carry out a set of tasks based on instruction, ML is a machine\u2019s ability to ingest, parse, and learn from that data itself to become more accurate or precise when accomplishing a task. AI-based model is black-box in nature which means all data scientists have to do is find and import the right artificial network or machine learning algorithm. However, they remain unaware of how decisions are made by the model and thus lose the trust and comfortability of data scientists. Machine Learning means computers learning from data using algorithms to perform a task without being explicitly programmed. Deep Learning uses a complex structure of algorithms modeled on the human brain.<\/p>\n<\/p>\n<p><h2>Machine Learning vs. AI: What\u2019s the Difference?<\/h2>\n<\/p>\n<p><p>Completely custom-built utilising ML to provide <a href=\"https:\/\/www.metadialog.com\/blog\/ai-vs-ml\/\">an AI solution<\/a> to identify bottles, cans, and cartons, the beverage container detection system  is going to revolutionise the way Australians recycle.<\/p>\n<\/p>\n<div style='border: black solid 1px;padding: 11px;'>\n<h3>What is ChatGPT, DALL-E, and generative AI? &#8211; McKinsey<\/h3>\n<p>What is ChatGPT, DALL-E, and generative AI?.<\/p>\n<p>Posted: Thu, 19 Jan 2023 08:00:00 GMT [<a href='https:\/\/news.google.com\/rss\/articles\/CBMiVGh0dHBzOi8vd3d3Lm1ja2luc2V5LmNvbS9mZWF0dXJlZC1pbnNpZ2h0cy9tY2tpbnNleS1leHBsYWluZXJzL3doYXQtaXMtZ2VuZXJhdGl2ZS1hadIBAA?oc=5' rel=\"nofollow\">source<\/a>]<\/p>\n<\/div>\n<p><p>In this case, AI and ML help data scientists to gather data about their competitors in the form of insights. Today, we hear about data science, machine learning, and artificial intelligence from everywhere. Humans have long been obsessed with creating AI ever since the question, \u201cCan machines think? AI enables  to think, that is without any human intervention the machine will be able to take its own decision. It is a broad area of computer science that makes machines seem like they have human intelligence.<\/p>\n<\/p>\n<p><h2>Data<\/h2>\n<\/p>\n<p><p>Because otherwise, you\u2019re going to be a dinosaur within 3 years.\u201d &#8211; Mark Cuban, American entrepreneur, and television personality. The data that is collected provides valuable insights for farmers, enabling them to improve efficiency and increase yield performance. This simplifies and enhances farm management decisions, ultimately leading to maximised harvest results.<\/p>\n<\/p>\n<p><a href=\"https:\/\/www.metadialog.com\/\"><\/p>\n<figure><img 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alt='https:\/\/www.metadialog.com\/' class='aligncenter' style='display:block;margin-left:auto;margin-right:auto;' width='408px'\/><\/figure>\n<p><\/a><\/p>\n<p><p>Read more about <a href=\"https:\/\/www.metadialog.com\/\">https:\/\/www.metadialog.com\/<\/a> here.<\/p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Artificial Intelligence vs Machine Learning: Whats the Difference? Much of that has to do with the wide availability of GPUs that make parallel processing ever faster, cheaper, and more powerful. It also has to do with the simultaneous one-two punch of practically infinite storage and a flood of data of every stripe (that whole Big [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[121],"tags":[],"class_list":["post-9184","post","type-post","status-publish","format-standard","hentry","category-ai-news"],"featured_image_src":null,"author_info":{"display_name":"Emanuel.J.Moreira","author_link":"https:\/\/ipc.cv\/en\/author\/emanuel-j-moreira\/"},"_links":{"self":[{"href":"https:\/\/ipc.cv\/en\/wp-json\/wp\/v2\/posts\/9184","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ipc.cv\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ipc.cv\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ipc.cv\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/ipc.cv\/en\/wp-json\/wp\/v2\/comments?post=9184"}],"version-history":[{"count":1,"href":"https:\/\/ipc.cv\/en\/wp-json\/wp\/v2\/posts\/9184\/revisions"}],"predecessor-version":[{"id":9185,"href":"https:\/\/ipc.cv\/en\/wp-json\/wp\/v2\/posts\/9184\/revisions\/9185"}],"wp:attachment":[{"href":"https:\/\/ipc.cv\/en\/wp-json\/wp\/v2\/media?parent=9184"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ipc.cv\/en\/wp-json\/wp\/v2\/categories?post=9184"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ipc.cv\/en\/wp-json\/wp\/v2\/tags?post=9184"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}