{"id":7207,"date":"2022-02-22T07:47:56","date_gmt":"2022-02-22T06:47:56","guid":{"rendered":"https:\/\/immune.institute\/?p=7207"},"modified":"2022-02-22T07:47:56","modified_gmt":"2022-02-22T06:47:56","slug":"diferencias-de-machine-learning-y-deep-learning","status":"publish","type":"post","link":"https:\/\/immune.institute\/en\/blog\/diferencias-de-machine-learning-y-deep-learning\/","title":{"rendered":"Differences between machine learning and deep learning"},"content":{"rendered":"<p><span style=\"font-weight: 400;\">As M\u00f3nica Villas pointed out, <\/span><a href=\"https:\/\/immune.institute\/en\/entrevista-monica-villas-inteligencia-artificial\/\"><span style=\"font-weight: 400;\">\u201cArtificial Intelligence is not the future, but the present\u201d<\/span><\/a><span style=\"font-weight: 400;\">. AI is a branch within research and computer science. Through logical-mathematical mechanisms, machines are programmed to satisfy people's needs.<\/span><\/p>\n<blockquote>\n<p style=\"text-align: center;\"><span style=\"font-weight: 400;\">In recent times, we've seen that there are different types of Artificial Intelligence. Today we'll delve into machine learning and deep learning.<\/span><\/p>\n<\/blockquote>\n<p><span style=\"font-weight: 400;\">In this article, we are going to look at <\/span><b>the differences between machine learning and deep learning<\/b><span style=\"font-weight: 400;\"> And what do these two branches of machine learning consist of.<\/span><\/p>\n<h2>AI: The meeting point of machine learning and deep learning<\/h2>\n<p><span style=\"font-weight: 400;\">Artificial Intelligence is a very powerful science, which encompasses <\/span><b>different types of technology<\/b><span style=\"font-weight: 400;\">. Without going any further, we can observe different paradigms that are divided into 2 major groupings: Robust Artificial Intelligence and Applied Artificial Intelligence.<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>IA Robusta (Strong AI)<\/b><span style=\"font-weight: 400;\"> This idea would involve machines having an intelligence similar to human cognitive ability.&nbsp;<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Applied AI (Weak AI)<\/b><span style=\"font-weight: 400;\"> In this second section, we observe those machines whose learning is guided through algorithms. Indeed, machine learning and deep learning would fall under this category.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">That being said, let's look at the differences between machine learning and deep learning, and their definitions.<\/span><\/p>\n<h2><span style=\"font-weight: 400;\">Machine learning is a subfield of artificial intelligence that allows computer systems to learn from data without being explicitly programmed. It uses algorithms to identify patterns and make predictions or decisions based on the data it has been trained on.<\/span><\/h2>\n<blockquote>\n<p style=\"text-align: center;\"><span style=\"font-weight: 400;\">First of all, machine learning refers to the use of mathematical algorithms to enable machines to imitate the way humans learn.<\/span><\/p>\n<\/blockquote>\n<p><span style=\"font-weight: 400;\">Through these algorithms, machines analyse and take a series of data and, consequently, learn to make decisions based on what they have learned. That is to say<\/span><b>, they acquire a series of patterns<\/b><span style=\"font-weight: 400;\">, thanks to a <\/span><a href=\"https:\/\/immune.institute\/en\/lenguaje-de-programacion-r\/\"><span style=\"font-weight: 400;\">programming<\/span><\/a><span style=\"font-weight: 400;\"> previous.<\/span><\/p>\n<h2><span style=\"font-weight: 400;\">What is deep learning?<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">For its part, <\/span><b>Deep learning is a part of machine learning itself.<\/b><span style=\"font-weight: 400;\">. It is very similar to the first, but employs different algorithms:<\/span><\/p>\n<blockquote>\n<p style=\"text-align: center;\"><span style=\"font-weight: 400;\">While decision algorithms (decision trees) are used in machine learning, neural networks that mimic the neural networks of the human brain are employed in deep learning.<\/span><\/p>\n<\/blockquote>\n<p><span style=\"font-weight: 400;\">If you're wondering about the differences between machine learning and deep learning, we can say that the latter is a branch of the former. <\/span><b>Deep learning goes beyond machine learning, as it attempts to emulate human learning.<\/b><\/p>\n<p><span style=\"font-weight: 400;\">In this way, deep learning is a more detailed, more evolved type of learning; therefore it is more accurate and its margin of error much smaller.&nbsp;<\/span><\/p>\n<h2><span style=\"font-weight: 400;\">When to use deep learning? And machine learning?<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">You already know the differences between machine learning and deep learning, <\/span><b>But do you know where to apply this type of technology?<\/b><\/p>\n<p><span style=\"font-weight: 400;\">The <\/span><a href=\"https:\/\/immune.institute\/en\/7-ejemplos-de-uso-de-inteligencia-artificial-en-nuestro-dia-a-dia\/\"><span style=\"font-weight: 400;\">artificial intelligence<\/span><\/a><span style=\"font-weight: 400;\"> It is present in our day-to-day. At home, at work, or in any other aspect of life. In this way, let's look at some examples of artificial intelligence where both deep learning and machine learning can be applied:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Home automation<\/b><span style=\"font-weight: 400;\"> Or robotics in the home. From a smart TV, to a mirror, to the lighting itself\u2026 Thanks to AI, your home can also be smart.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Voice recognition:<\/b><span style=\"font-weight: 400;\"> Voice assistants, such as Siri, Alexa, or Google Assistant, work with deep learning.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Search engines<\/b><span style=\"font-weight: 400;\"> This is certainly the case with Google, which aims to personalise and tailor its services to each user.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Bots<\/b><span style=\"font-weight: 400;\"> Or customer service chats. These aim for natural language, answering customers' most frequent questions.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Data Prediction<\/b><span style=\"font-weight: 400;\"> Machine learning employs various predictive models, which can be applied to different fields of knowledge. In medicine, for example, to inquire about a disease, or in economics, when predicting the prices of products or services.<\/span><\/li>\n<\/ul>\n<h2><span style=\"font-weight: 400;\">Do you want to work in AI?&nbsp;<\/span><\/h2>\n<p><b>Have you understood the differences between machine learning and deep learning?<\/b><span style=\"font-weight: 400;\"> Do you find the field of Artificial Intelligence interesting enough to pursue professionally? If so, <\/span><b>At IMMUNE, we have a training offer designed for you.<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Be sure to check out our <\/span><a href=\"https:\/\/immune.institute\/en\/data-science\/\"><span style=\"font-weight: 400;\">Data Science Master<\/span><\/a><span style=\"font-weight: 400;\">, also available in <\/span><a href=\"https:\/\/immune.institute\/en\/data-science-online\/\"><span style=\"font-weight: 400;\">online version<\/span><\/a><span style=\"font-weight: 400;\">; as well as this <\/span><a href=\"https:\/\/immune.institute\/en\/voice-tech\/\"><span style=\"font-weight: 400;\">Voice Tech Bootcamp<\/span><\/a><span style=\"font-weight: 400;\">, specialising in that voice recognition by virtual assistants.&nbsp;<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Join our institute of technology now!<\/span><\/p>","protected":false},"excerpt":{"rendered":"<p>Tal y como apuntaba M\u00f3nica Villas, \u201cla Inteligencia Artificial no es el futuro, sino el presente\u201d. La IA es una rama dentro de la investigaci\u00f3n y la inform\u00e1tica. A trav\u00e9s de mecanismos l\u00f3gico-matem\u00e1ticos, las m\u00e1quinas son programadas para satisfacer las necesidades de las personas. En los \u00faltimos tiempos, hemos visto que existen diferentes tipos de [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":7423,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"ai_generated_summary":"","footnotes":""},"categories":[1],"tags":[],"class_list":["post-7207","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog"],"acf":[],"_links":{"self":[{"href":"https:\/\/immune.institute\/en\/wp-json\/wp\/v2\/posts\/7207","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/immune.institute\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/immune.institute\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/immune.institute\/en\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/immune.institute\/en\/wp-json\/wp\/v2\/comments?post=7207"}],"version-history":[{"count":0,"href":"https:\/\/immune.institute\/en\/wp-json\/wp\/v2\/posts\/7207\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/immune.institute\/en\/wp-json\/wp\/v2\/media\/7423"}],"wp:attachment":[{"href":"https:\/\/immune.institute\/en\/wp-json\/wp\/v2\/media?parent=7207"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/immune.institute\/en\/wp-json\/wp\/v2\/categories?post=7207"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/immune.institute\/en\/wp-json\/wp\/v2\/tags?post=7207"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}