{"id":35985,"date":"2021-01-21T15:14:07","date_gmt":"2021-01-21T14:14:07","guid":{"rendered":"https:\/\/multi.datascientest.com\/?p=35985"},"modified":"2023-10-30T18:25:09","modified_gmt":"2023-10-30T17:25:09","slug":"machine-learning-what-is-it-and-why-does-it-change-the-world","status":"publish","type":"post","link":"https:\/\/datascientest.com\/en\/machine-learning-what-is-it-and-why-does-it-change-the-world","title":{"rendered":"Machine Learning: What is it and why does it change the world?"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"35985\" class=\"elementor elementor-35985\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-7c2b037 e-flex e-con-boxed e-con\" data-id=\"7c2b037\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-9d87022 elementor-widget elementor-widget-text-editor\" data-id=\"9d87022\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#69727d;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#69727d;border:3px solid;background-color:transparent}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap{margin-top:8px}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap-letter{width:1em;height:1em}.elementor-widget-text-editor .elementor-drop-cap{float:left;text-align:center;line-height:1;font-size:50px}.elementor-widget-text-editor .elementor-drop-cap-letter{display:inline-block}<\/style>\t\t\t\t<p><b>Find out everything you need to know about Machine Learning: definition, operation, and different categories\u2026 you\u2019ll know everything about Machine Learning and its revolutionary impact in all areas!<\/b><\/p><p><span style=\"font-weight: 400;\">Machine Learning is a scientific field, and more specifically a <\/span><b>sub-category of artificial intelligence<\/b><span style=\"font-weight: 400;\">. It consists in letting algorithms discover \u201cpatterns\u201d, i.e. recurring patterns, in data sets. These data can be numbers, words, images, statistics\u2026<\/span><\/p><p><span style=\"font-weight: 400;\">Anything that can be stored digitally can be used as data for Machine Learning. By <\/span><b>detecting patterns<\/b><span style=\"font-weight: 400;\"> in this data, algorithms learn and improve their performance in the execution of a specific task.<\/span><\/p><p><span style=\"font-weight: 400;\">In short, Machine Learning algorithms <\/span><b>autonomously learn<\/b><span style=\"font-weight: 400;\"> how to perform a task or make predictions from data and improve their performance over time. Once trained, the algorithm will be able to find patterns in new data.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f9d0fcf elementor-widget elementor-widget-spacer\" data-id=\"f9d0fcf\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-column .elementor-spacer-inner{height:var(--spacer-size)}.e-con{--container-widget-width:100%}.e-con-inner>.elementor-widget-spacer,.e-con>.elementor-widget-spacer{width:var(--container-widget-width,var(--spacer-size));--align-self:var(--container-widget-align-self,initial);--flex-shrink:0}.e-con-inner>.elementor-widget-spacer>.elementor-widget-container,.e-con-inner>.elementor-widget-spacer>.elementor-widget-container>.elementor-spacer,.e-con>.elementor-widget-spacer>.elementor-widget-container,.e-con>.elementor-widget-spacer>.elementor-widget-container>.elementor-spacer{height:100%}.e-con-inner>.elementor-widget-spacer>.elementor-widget-container>.elementor-spacer>.elementor-spacer-inner,.e-con>.elementor-widget-spacer>.elementor-widget-container>.elementor-spacer>.elementor-spacer-inner{height:var(--container-widget-height,var(--spacer-size))}<\/style>\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-8da87c6 e-flex e-con-boxed e-con\" data-id=\"8da87c6\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-4ad407c elementor-widget elementor-widget-heading\" data-id=\"4ad407c\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-heading-title{padding:0;margin:0;line-height:1}.elementor-widget-heading .elementor-heading-title[class*=elementor-size-]>a{color:inherit;font-size:inherit;line-height:inherit}.elementor-widget-heading .elementor-heading-title.elementor-size-small{font-size:15px}.elementor-widget-heading .elementor-heading-title.elementor-size-medium{font-size:19px}.elementor-widget-heading .elementor-heading-title.elementor-size-large{font-size:29px}.elementor-widget-heading .elementor-heading-title.elementor-size-xl{font-size:39px}.elementor-widget-heading .elementor-heading-title.elementor-size-xxl{font-size:59px}<\/style><h3 class=\"elementor-heading-title elementor-size-default\">How does the Learning Machine work?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7ac10b9 elementor-widget elementor-widget-text-editor\" data-id=\"7ac10b9\" data-element_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<p><span style=\"font-weight: 400;\">The development of a Machine Learning model is based on four main steps. As a general rule, a <\/span><a href=\"https:\/\/datascientest.com\/en\/data-scientist-course\"><span style=\"font-weight: 400;\"><span style=\"text-decoration: underline;\"><strong>Data Scientist<\/strong><\/span><\/span><\/a><span style=\"font-weight: 400;\"> manages and supervises this process.<\/span><\/p><p><b><span style=\"text-decoration: underline;\">First step<\/span>:<\/b> Select and prepare a set of training data.\u00a0<\/p><p><span style=\"font-weight: 400;\">This data will be used to<\/span><b> feed<\/b><span style=\"font-weight: 400;\"> the Machine Learning model to learn how to solve the problem for which it is designed. <\/span>The data can be labeled to tell the model what features it will need to identify. The data can also be unlabeled, and the model will need to identify and <b>extract the recurring characteristics<\/b> on its own.<\/p><p><span style=\"font-weight: 400;\">In either case, the data must be <\/span><b>carefully prepared<\/b><span style=\"font-weight: 400;\">, organized, and cleaned. Otherwise, the training of the Machine Learning model may be biased. The results of its future predictions will be directly impacted.<\/span><\/p><p><b><span style=\"text-decoration: underline;\">Second step<\/span>: <\/b><span style=\"font-weight: 400;\">Select an algorithm to run on the training data set<\/span><\/p><p><span style=\"font-weight: 400;\">The type of algorithm to be used depends on the type and amount of training data and the type of problem to be solved.<\/span><\/p><p><b><span style=\"text-decoration: underline;\">Third step<\/span>:<\/b><span style=\"font-weight: 400;\"> Train the algorithm.\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">This is an <\/span><b>iterative process<\/b><span style=\"font-weight: 400;\">. Variables are run through the algorithm, and the <\/span><b>results are compared<\/b><span style=\"font-weight: 400;\"> with what they should have produced. The \u201cweights\u201d and bias can then be adjusted to increase the accuracy of the result.<\/span><\/p><p><span style=\"font-weight: 400;\">The variables are then re-executed until the algorithm produces the correct result most of the time. The algorithm, trained in this way, is the Machine Learning model.<\/span><\/p><p><b><span style=\"text-decoration: underline;\">Fourth step<\/span>:<\/b><span style=\"font-weight: 400;\"> The use and improvement of the model.<\/span><\/p><p><span style=\"font-weight: 400;\">The model is used on <\/span><b>new data<\/b><span style=\"font-weight: 400;\">, the source of which depends on the problem to be solved. For example, a Machine Learning model designed to <\/span><b>detect spam<\/b><span style=\"font-weight: 400;\"> will be used on emails. On the other hand, the Machine Learning model of a vacuum cleaner robot ingests data resulting from interaction with the real world such as moving furniture or adding new objects in the room. Efficiency and accuracy can also <\/span><b>increase over time<\/b><span style=\"font-weight: 400;\">.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9ec2318 elementor-align-center button-principal elementor-widget elementor-widget-button\" data-id=\"9ec2318\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-md\" href=\"https:\/\/datascientest.com\/en\/machine-learning-engineer-course\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Start training with Machine Learning<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-9e7a014 e-flex e-con-boxed e-con\" data-id=\"9e7a014\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-2b277c1 elementor-widget elementor-widget-heading\" data-id=\"2b277c1\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">What are the main algorithms of Machine Learning?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7cd7b05 elementor-widget elementor-widget-text-editor\" data-id=\"7cd7b05\" data-element_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<p><span style=\"font-weight: 400;\">There is a wide variety of Machine Learning algorithms. However, some are more commonly used than others. First of all, different algorithms are used for labeled data.<\/span><\/p><p><b>Regression algorithms<\/b><span style=\"font-weight: 400;\">, either linear or logistic, are used to <\/span><b>understand the relationships<\/b><span style=\"font-weight: 400;\"> between the data.\u00a0<\/span><\/p><ul><li style=\"font-weight: 400;\" aria-level=\"1\"><b>Linear regression<\/b><span style=\"font-weight: 400;\"> is used to predict the value of a dependent variable based on the value of an independent variable. An example would be to predict the annual sales of a salesperson based on his or her education or experience.<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><b>Logistic regression<\/b><span style=\"font-weight: 400;\"> is used when the dependent variables are binary. Another type of regression algorithm called support vector machine is relevant when the dependent variables are more difficult to classify.<\/span><\/li><\/ul><p><span style=\"font-weight: 400;\">\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">Another popular ML algorithm is the<\/span><b> decision tree<\/b><span style=\"font-weight: 400;\">. This algorithm allows for establishing recommendations based on a set of decision rules <\/span><b>using classified data<\/b><span style=\"font-weight: 400;\">. For example, it is possible to recommend which soccer team to bet on based on data such as the age of the players or the team\u2019s percentage of wins.<\/span><\/p><p><span style=\"font-weight: 400;\">For untagged data, <\/span><b>clustering algorithms <\/b><span style=\"font-weight: 400;\">are often used. This method involves <\/span><b>identifying groups with similar records<\/b><span style=\"font-weight: 400;\"> and labeling those records according to the group to which they belong. The groups and their characteristics are unknown for the previous types of algorithms. Clustering algorithms include K-means, TwoStep, or Kohonen.<\/span><\/p><p><b>Association algorithms<\/b><span style=\"font-weight: 400;\"> allow the discovery of patterns and relationships in the data, and to identify \u201cif \/ then\u201d relationships called \u201cassociation rules\u201d. These rules are similar to those used in <\/span><b>Data Mining<\/b><span style=\"font-weight: 400;\">.<\/span><\/p><p><span style=\"font-weight: 400;\">Finally, <\/span><b>neural networks<\/b><span style=\"font-weight: 400;\"> are algorithms in the form of a <\/span><b>multi-layered network<\/b><span style=\"font-weight: 400;\">. The first layer allows data ingestion, one or more hidden layers draw conclusions from the ingested data, and the last layer assigns a probability to each conclusion.<\/span><\/p><p><span style=\"font-weight: 400;\">A <\/span><b>deep neural network<\/b><span style=\"font-weight: 400;\"> is composed of multiple hidden layers, each of which allows for refining the results of the previous one. It is used in the field of <\/span><a href=\"https:\/\/datascientest.com\/en\/all-about-deep-learning\"><span style=\"font-weight: 400;\"><span style=\"text-decoration: underline;\"><strong>Deep Learning<\/strong><\/span><\/span><\/a><span style=\"font-weight: 400;\">.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6a4a290 elementor-widget__width-initial elementor-widget elementor-widget-video\" data-id=\"6a4a290\" data-element_type=\"widget\" data-settings=\"{&quot;youtube_url&quot;:&quot;https:\\\/\\\/www.youtube.com\\\/watch?v=yN7ypxC7838&quot;,&quot;video_type&quot;:&quot;youtube&quot;,&quot;controls&quot;:&quot;yes&quot;}\" data-widget_type=\"video.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-video .elementor-widget-container{overflow:hidden;transform:translateZ(0)}.elementor-widget-video .elementor-wrapper{aspect-ratio:var(--video-aspect-ratio)}.elementor-widget-video .elementor-wrapper iframe,.elementor-widget-video .elementor-wrapper video{height:100%;width:100%;display:flex;border:none;background-color:#000}@supports not (aspect-ratio:1\/1){.elementor-widget-video .elementor-wrapper{position:relative;overflow:hidden;height:0;padding-bottom:calc(100% \/ var(--video-aspect-ratio))}.elementor-widget-video .elementor-wrapper iframe,.elementor-widget-video .elementor-wrapper video{position:absolute;top:0;right:0;bottom:0;left:0}}.elementor-widget-video .elementor-open-inline .elementor-custom-embed-image-overlay{position:absolute;top:0;right:0;bottom:0;left:0;background-size:cover;background-position:50%}.elementor-widget-video .elementor-custom-embed-image-overlay{cursor:pointer;text-align:center}.elementor-widget-video .elementor-custom-embed-image-overlay:hover .elementor-custom-embed-play i{opacity:1}.elementor-widget-video .elementor-custom-embed-image-overlay img{display:block;width:100%;aspect-ratio:var(--video-aspect-ratio);-o-object-fit:cover;object-fit:cover;-o-object-position:center center;object-position:center center}@supports not (aspect-ratio:1\/1){.elementor-widget-video .elementor-custom-embed-image-overlay{position:relative;overflow:hidden;height:0;padding-bottom:calc(100% \/ var(--video-aspect-ratio))}.elementor-widget-video .elementor-custom-embed-image-overlay img{position:absolute;top:0;right:0;bottom:0;left:0}}.elementor-widget-video .e-hosted-video .elementor-video{-o-object-fit:cover;object-fit:cover}.e-con-inner>.elementor-widget-video,.e-con>.elementor-widget-video{width:var(--container-widget-width);--flex-grow:var(--container-widget-flex-grow)}<\/style>\t\t<div class=\"elementor-wrapper elementor-open-inline\">\n\t\t\t<div class=\"elementor-video\"><\/div>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1302109 elementor-widget elementor-widget-spacer\" data-id=\"1302109\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-4556d95 e-flex e-con-boxed e-con\" data-id=\"4556d95\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-26c0b40 elementor-widget elementor-widget-heading\" data-id=\"26c0b40\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">What is Deep Learning?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-dcb0037 elementor-widget elementor-widget-text-editor\" data-id=\"dcb0037\" data-element_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<p><b>Deep Learning is a subset of Machine Learning<\/b><span style=\"font-weight: 400;\">, but it is the most commonly used today. It is an invention of Geoffrey Hinton, dated 1986.<\/span><\/p><p><span style=\"font-weight: 400;\">Deep Learning is an <\/span><b>enhanced version<\/b><span style=\"font-weight: 400;\"> of the Learning Machine. Deep Learning uses a technique that gives it a superior ability to detect even the most subtle patterns.<\/span><\/p><p><span style=\"font-weight: 400;\">This technique is called a <\/span><b>deep neural network<\/b><span style=\"font-weight: 400;\">. This depth corresponds to a large number of layers of computational nodes that make up these networks and work collaboratively to process data and deliver predictions.<\/span><\/p><p><span style=\"font-weight: 400;\">These neural networks are directly <\/span><b>inspired by the functioning of the human brain<\/b><span style=\"font-weight: 400;\">. The computational nodes are comparable to neurons, and the network itself is similar to the brain.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4377b37 elementor-align-center button-principal elementor-widget elementor-widget-button\" data-id=\"4377b37\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-md\" href=\"https:\/\/datascientest.com\/en\/deep-learning-course\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Discover our Deep Learning course<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-4aefa44 e-flex e-con-boxed e-con\" data-id=\"4aefa44\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-e29354a elementor-widget elementor-widget-heading\" data-id=\"e29354a\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">What are the different types of Machine Learning?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-0745dd2 elementor-widget elementor-widget-text-editor\" data-id=\"0745dd2\" data-element_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<p><span style=\"font-weight: 400;\">There are <\/span><b>four Machine Learning techniques<\/b><span style=\"font-weight: 400;\">: supervised learning, unsupervised learning, semi-supervised learning, and reinforcement learning.<\/span><\/p><p><b>Supervised learning<\/b><\/p><p><span style=\"font-weight: 400;\">This technique is <\/span><b>one of the most common<\/b><span style=\"font-weight: 400;\">, the data is labeled to tell the machine what patterns it should look for. The system <\/span><b>trains on a set of labeled data<\/b><span style=\"font-weight: 400;\">, along with the information it is supposed to determine. The data may even already be classified in the way the system is supposed to.<\/span><\/p><p><span style=\"font-weight: 400;\">This method<\/span><b> requires less training data<\/b><span style=\"font-weight: 400;\"> than other methods and makes the training process easier since the model results can be compared with the already labeled data. However, <\/span><b>data labeling can be expensive<\/b><span style=\"font-weight: 400;\">. A model can also be <\/span><b>biased <\/b><span style=\"font-weight: 400;\">by training data, which will impact its performance later when processing new data.<\/span><\/p><p><b>Unsupervised learning<\/b><\/p><p><span style=\"font-weight: 400;\">On the contrary, in this case, data is not labeled. The machine <\/span><b>simply scans<\/b><span style=\"font-weight: 400;\"> the data for possible patterns. It ingests vast amounts of data, and <\/span><b>uses algorithms <\/b><span style=\"font-weight: 400;\">to extract relevant characteristics required to label, sort, and classify the data in real-time without human intervention.<\/span><\/p><p><span style=\"font-weight: 400;\">Rather than automating decisions and predictions, this approach identifies patterns and relationships that humans may not identify in the data. This technique is <\/span><b>not very popular<\/b><span style=\"font-weight: 400;\"> because it is less simple to apply. However, it is becoming increasingly popular in the <\/span><b>field of cybersecurity<\/b><span style=\"font-weight: 400;\">.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6ed9460 elementor-widget__width-initial elementor-widget elementor-widget-video\" data-id=\"6ed9460\" data-element_type=\"widget\" data-settings=\"{&quot;youtube_url&quot;:&quot;https:\\\/\\\/www.youtube.com\\\/watch?v=rHeaoaiBM6Y&quot;,&quot;video_type&quot;:&quot;youtube&quot;,&quot;controls&quot;:&quot;yes&quot;}\" data-widget_type=\"video.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-wrapper elementor-open-inline\">\n\t\t\t<div class=\"elementor-video\"><\/div>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4ff43ef elementor-widget elementor-widget-spacer\" data-id=\"4ff43ef\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1a07aa1 elementor-widget elementor-widget-text-editor\" data-id=\"1a07aa1\" data-element_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<p><b>Semi-supervised learning<\/b>\u00a0<\/p><p>This kind of learning is somewhere between and offers a compromise between supervised and unsupervised learning. During training, a smaller labeled data set is used to guide the classification and extraction of features from a larger unlabeled data set.<\/p><p>This approach is useful in situations where the amount of labeled data is insufficient to train a supervised algorithm. It provides a workaround to the problem.<\/p><p><b>Reinforcement learning<\/b>\u00a0<\/p><p>Finally, it involves letting an algorithm\u00a0<b>learn from its errors<\/b>\u00a0to achieve a goal. The algorithm will try many different approaches to try to achieve its goal.<\/p><p>Depending on its performance, it will be\u00a0<b>rewarded or penalized<\/b>\u00a0to encourage it to continue along a path or to change its approach. This technique is notably used to allow an AI to outperform humans in games.<\/p><p>For example, Google\u2019s AlphaGo beat the Go champion thanks to reinforcement learning. Similarly,\u00a0<strong><a href=\"https:\/\/openai.com\/\"><u>OpenAI<\/u><\/a><\/strong>\u00a0has trained an AI capable of defeating the best players of the video game Dota 2.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f32d3ae elementor-widget elementor-widget-spacer\" data-id=\"f32d3ae\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-5cf0aa9 e-flex e-con-boxed e-con\" data-id=\"5cf0aa9\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-d3cdc3e elementor-widget elementor-widget-heading\" data-id=\"d3cdc3e\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Use cases and applications<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9a5f07c elementor-widget elementor-widget-text-editor\" data-id=\"9a5f07c\" data-element_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<p><span style=\"font-weight: 400;\">In recent years, we have heard about many advances in the field of artificial intelligence. Similarly, AI applications are <\/span><b>multiplying<\/b><span style=\"font-weight: 400;\">. The vast majority of advances in this field are directly related to Machine Learning.<\/span><\/p><p><span style=\"font-weight: 400;\">Machine Learning is hidden behind a large number of popular modern services. For example, the <\/span><b>recommendation systems<\/b><span style=\"font-weight: 400;\"> of Netflix, YouTube, and Spotify make use of this technology.<\/span><\/p><p><span style=\"font-weight: 400;\">The same goes for the <\/span><b>web search engines<\/b><span style=\"font-weight: 400;\"> of Google and Baidu, for the news feeds of social networks such as Facebook and Twitter, or for voice assistants such as Siri and Alexa. Thus, the Learning Machine can be considered a<\/span><b> flagship innovation<\/b><span style=\"font-weight: 400;\"> of the beginning of the 21st century.<\/span><\/p><p><span style=\"font-weight: 400;\">That\u2019s why the above-mentioned platforms and other web giants<\/span><b> collect vast amounts of personal data<\/b><span style=\"font-weight: 400;\"> about their users: the kind of movies you prefer, the links you click on, and the publications you react to\u2026 all this data can be used to feed a Machine Learning algorithm and allow it to predict what you want.<\/span><\/p><p><span style=\"font-weight: 400;\">Machine Learning is also what allows robot vacuums to clean up on their own, your mailbox to detect spam, and medical image analysis systems to help doctors spot tumors more effectively. Autonomous cars also rely on machine learning.<\/span><\/p><p><span style=\"font-weight: 400;\">Digital assistants, such as Apple Siri, Amazon Alexa, or Google Assistant, rely on <\/span><b>Natural Language Processing<\/b><span style=\"font-weight: 400;\"> (NLP) technology. This is a Machine Learning application that allows computers to process voice or text data to understand human language. This technology also powers the voice of your GPS or Chatbots and speech-to-text software.<\/span><\/p><p><span style=\"font-weight: 400;\">As <\/span><b>Big Data continues to grow<\/b><span style=\"font-weight: 400;\">, with more and <\/span><b>more data being generated<\/b><span style=\"font-weight: 400;\">, and as computing continues to gain power, Machine Learning will offer even more possibilities.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d601503 elementor-widget__width-initial elementor-widget elementor-widget-video\" data-id=\"d601503\" data-element_type=\"widget\" data-settings=\"{&quot;youtube_url&quot;:&quot;https:\\\/\\\/www.youtube.com\\\/watch?v=Bui3DWs02h4&quot;,&quot;video_type&quot;:&quot;youtube&quot;,&quot;controls&quot;:&quot;yes&quot;}\" data-widget_type=\"video.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-wrapper elementor-open-inline\">\n\t\t\t<div class=\"elementor-video\"><\/div>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2ab95be elementor-widget elementor-widget-spacer\" data-id=\"2ab95be\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-cb28da9 e-flex e-con-boxed e-con\" data-id=\"cb28da9\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-df6e9c8 elementor-widget elementor-widget-text-editor\" data-id=\"df6e9c8\" data-element_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<p><span style=\"font-weight: 400;\">You are now familiar with Machine Learning. This discipline is at the heart of Data Science, and you will be able to initiate yourself through our <\/span><span style=\"text-decoration: underline;\"><strong><a href=\"https:\/\/datascientest.com\/en\/data-scientist-course\">Data Scientist training<\/a><\/strong><\/span><span style=\"font-weight: 400;\">.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a600990 elementor-align-center button-principal elementor-widget elementor-widget-button\" data-id=\"a600990\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-md\" href=\"https:\/\/datascientest.com\/en\/machine-learning-engineer-course\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Become a Machine Learning Engineer<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-6c714d5 e-flex e-con-boxed e-con\" data-id=\"6c714d5\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Find out everything you need to know about Machine Learning: definition, operation, and different categories\u2026 you\u2019ll know everything about Machine Learning and its revolutionary impact in all areas! Machine Learning is a scientific field, and more specifically a sub-category of artificial intelligence. It consists in letting algorithms discover \u201cpatterns\u201d, i.e. recurring patterns, in data sets. [&hellip;]<\/p>\n","protected":false},"author":45,"featured_media":166496,"comment_status":"open","ping_status":"open","sticky":false,"template":"elementor_theme","format":"standard","meta":{"content-type":"","inline_featured_image":false},"categories":[2425],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v21.7 (Yoast SEO v21.7) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Machine Learning: What is it and why does it change the world?<\/title>\n<meta name=\"description\" content=\"Find out everything you need to know about Machine Learning: definition, operation, different categories\u2026\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/datascientest.com\/en\/machine-learning-what-is-it-and-why-does-it-change-the-world\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" 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