{"id":172955,"date":"2023-11-05T15:44:29","date_gmt":"2023-11-05T14:44:29","guid":{"rendered":"https:\/\/datascientest.com\/en\/?p=172955"},"modified":"2023-11-05T15:49:32","modified_gmt":"2023-11-05T14:49:32","slug":"boosting-business-with-3-essential-machine-learning-algorithms","status":"publish","type":"post","link":"https:\/\/datascientest.com\/en\/boosting-business-with-3-essential-machine-learning-algorithms","title":{"rendered":"Boosting Business with 3 Essential Machine Learning Algorithms"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"172955\" class=\"elementor elementor-172955\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-7bbc4b9e elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"7bbc4b9e\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-64245439\" data-id=\"64245439\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-2f69949f elementor-widget elementor-widget-heading\" data-id=\"2f69949f\" 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><h2 class=\"elementor-heading-title elementor-size-default\">The word algorithm is now part of everyday language. But what does it really mean? Behind this simple word lies a whole world of unsupervised learning, data science, neural networks... Why don't we take the time to define things? In this article, you'll discover or rediscover some useful Machine Learning algorithms to master.<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-41c54ed8 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"41c54ed8\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-7957dbf6\" data-id=\"7957dbf6\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-6dcb8783 elementor-widget elementor-widget-text-editor\" data-id=\"6dcb8783\" 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>\u261d\ufe0fLet&#8217;s start with the basics: what&#8217;s the difference between machine learning and deep learning?<\/p><p>The major difference is the type of data. On the one hand, <a href=\"https:\/\/datascientest.com\/en\/unraveling-machine-learning-vs-deep-learning-key-differences-explained\">machine learning will process structured data (numerical data).<\/a><\/p><p>There&#8217;s also a<a href=\"https:\/\/datascientest.com\/en\/algorithm-what-is-it\"> difference between supervised and unsupervised algorithms.<\/a><\/p><p>In short, in the case of supervised learning, machine learning algorithms make predictions based on examples that have already been labeled. In <strong>unsupervised learning,<\/strong> on the other hand, predictions are made on a volume of unlabeled data. The machine learning model must therefore predict results without relying on predefined outcomes.<\/p><p>To find out more about unsupervised learning applications, read this article.<\/p><p>With that out of the way, we&#8217;re now going to talk about 3 of the main simple machine learning algorithms that are useful to master in business:<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-5e5d4d50 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"5e5d4d50\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-17b34c19\" data-id=\"17b34c19\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-387bb0fb elementor-widget elementor-widget-heading\" data-id=\"387bb0fb\" 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\">Logistic Regression<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-8283fc3 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"8283fc3\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-265e0212\" data-id=\"265e0212\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-5e9a6c9a elementor-widget elementor-widget-text-editor\" data-id=\"5e9a6c9a\" 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><strong>Logistic regression<\/strong> is used to study the relationships between qualitative variables Xi (features) and a qualitative variable Y. The logistic regression model provides the probability of an event occurring or not. To do this, we look for a link function h and optimize its regression coefficients. You can find out more about logistic regression here.<\/p><p><em>\ud83d\udc49But what does it actually do?<\/em><\/p><p>Logistic regression is a basic machine learning algorithm, used to quickly classify data sets. In text detection, for example, logistic regression can be used to detect hate speech on a forum, or to classify the subjects of an article.<\/p><p>But<strong> logistic regression<\/strong> is also used in video games. Indeed, its strength lies in its simplicity, which means it can be implemented very quickly. Tencent, for example, uses it in its games to refine the recommendation system for in-game purchases.<\/p><p>And these fields are no exception: logistic regression can be found in medicine and industry alike. It&#8217;s an algorithm that needs to be mastered. Would you like to learn more about data science? We<a href=\"https:\/\/datascientest.com\/en\/data-architect-training-skills-salary-education\"> offer training courses to master all these algorithms.<\/a><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-1907b0c2 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"1907b0c2\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-55a37338\" data-id=\"55a37338\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-70a7d11 elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"70a7d11\" 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-sm elementor-animation-grow\" href=\"https:\/\/datascientest.com\/en\/aws-training\">\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 THE 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<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-60d0b8df elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"60d0b8df\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-5519c419\" data-id=\"5519c419\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-d40e11 elementor-widget elementor-widget-heading\" data-id=\"d40e11\" 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\">KNN<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-448a7961 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"448a7961\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-7b8d1478\" data-id=\"7b8d1478\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-3781e5f9 elementor-widget elementor-widget-text-editor\" data-id=\"3781e5f9\" 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>The <a href=\"https:\/\/datascientest.com\/en\/knn-what-is-the-knn-algorithm\">KNN method is a supervised learning method<\/a>. The idea of this algorithm is to classify a point into categories based on the class of its nearest neighbors in the database. To find out more about the KNN algorithm, read our article on the subject.<\/p><p>This method is based on the adage: &#8220;Birds of a feather flock together&#8221;. Indeed, data of the same class are likely to be found close together. From a technical point of view, you need to choose the number of neighbors to study.<\/p><p>In practice, the <strong>KNN algorithm<\/strong> can be found in many applications due to its ease of implementation and simplicity. On the other hand, if the number of variables is large, it can quickly become too slow to be efficient.<\/p><p>This is <strong>particularly true of recommendation systems<\/strong>. Take, for example, a website that lets you choose your meal. To improve the recommendation, the site will take into account previous searches to provide new, similar results. It is therefore by using the nearest neighbor algorithm that the site is able to provide a result.<\/p><p>This <a href=\"https:\/\/datascientest.com\/en\/unraveling-machine-learning-vs-deep-learning-key-differences-explained\">machine learning algorithm<\/a> is also used in real-time fraud detection. Here, we look for data that deviates from the norm, that doesn&#8217;t resemble classic patterns.<\/p><p>Admittedly, this algorithm is fast and simple, but it also needs to be fine-tuned. Indeed, this kind of classification can quickly exacerbate human bias. After all, such an algorithm reproduces existing patterns on a large scale. You need to take these biases into account to avoid generalizing them.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-7a4c8c14 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"7a4c8c14\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-7b16297\" data-id=\"7b16297\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-11e6fc58 elementor-widget elementor-widget-heading\" data-id=\"11e6fc58\" 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\">Decision trees<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-29b0384b elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"29b0384b\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-5fc4b5cc\" data-id=\"5fc4b5cc\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-5883f935 elementor-widget elementor-widget-text-editor\" data-id=\"5883f935\" 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><strong>Decision trees are very popular Machine Learning models.<\/strong> They are very simple to interpret and quite reliable. This makes it possible to create decision-support tools for non-data teams.<\/p><p>This is based on decision trees, i.e. a series of multiple-choice questions leading to the final decision. The <a href=\"https:\/\/datascientest.com\/en\/machine-learning-python-where-to-start\">machine learning algorithm<\/a> will iterate to define the probabilities of arriving at a decision. This optimizes the path to follow to reach the right result.<\/p><p>These decision trees can become very powerful when integrated into ensemblistic methods such as Random Forest.<\/p><p>However, care must be taken, as these algorithms can lead to overlearning. The algorithm will exacerbate perfect paths which, in the end, are only consistent with very specific situations.<\/p><p>So, we&#8217;ve quickly seen 3 of the main<strong> Machine Learning algorithms<\/strong> to master! These are useful in all fields, and can be applied to large databases as well as smaller structures. If you want to learn how to implement such algorithms, <a href=\"https:\/\/datascientest.com\/en\/management-of-unbalanced-classification-problems-ii\">as well as bagging and boosting methods,<\/a> our training courses will enable you to master the basic algorithms, as well as the more complex ones.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-2ac104ff elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"2ac104ff\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-7e11feef\" data-id=\"7e11feef\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-f0eb5be elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"f0eb5be\" 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-sm elementor-animation-grow\" href=\"https:\/\/datascientest.com\/en\/data-courses\">\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\">Learn more <\/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<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>The word algorithm is now part of everyday language. But what does it really mean? Behind this simple word lies a whole world of unsupervised learning, data science, neural networks&#8230; Why don&#8217;t we take the time to define things? In this article, you&#8217;ll discover or rediscover some useful Machine Learning algorithms to master. \u261d\ufe0fLet&#8217;s start [&hellip;]<\/p>\n","protected":false},"author":67,"featured_media":172957,"comment_status":"open","ping_status":"open","sticky":false,"template":"elementor_theme","format":"standard","meta":{"content-type":"","inline_featured_image":false},"categories":[2409],"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>Boosting Business with 3 Essential Machine Learning Algorithms<\/title>\n<meta name=\"description\" content=\"Unlock the potential of your business with these 3 valuable machine learning algorithms. Enhance decision-making, optimize processes, and achieve better results through the power of ML\" \/>\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\/boosting-business-with-3-essential-machine-learning-algorithms\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Boosting Business with 3 Essential Machine Learning Algorithms\" \/>\n<meta property=\"og:description\" content=\"The word algorithm is now part of everyday language. But what does it really mean? 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