{"id":166213,"date":"2023-01-23T12:44:04","date_gmt":"2023-01-23T11:44:04","guid":{"rendered":"https:\/\/datascientest.com\/en\/?p=166213"},"modified":"2023-10-30T18:21:37","modified_gmt":"2023-10-30T17:21:37","slug":"algorithm-what-is-it","status":"publish","type":"post","link":"https:\/\/datascientest.com\/en\/algorithm-what-is-it","title":{"rendered":"Algorithm: What is it and what is it used for?"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"166213\" class=\"elementor elementor-166213\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-ea0accf e-flex e-con-boxed e-con\" data-id=\"ea0accf\" 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-e277fe0 elementor-widget elementor-widget-text-editor\" data-id=\"e277fe0\" 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>Algorithms are essential in computer science, especially for Data Science and Machine Learning. Find out everything you need to know about them: definition, functioning, use cases, training&#8230;<\/b><\/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-352a1d3 elementor-widget elementor-widget-text-editor\" data-id=\"352a1d3\" 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 term &#8220;algorithm&#8221; derives from the name of the great Persian mathematician <\/span><b>Al Khwarizmi<\/b><span style=\"font-weight: 400;\">, who lived around the year 820 and who introduced <\/span><b>decimal numbering<\/b><span style=\"font-weight: 400;\"> to the West (from India) and taught the elementary arithmetic rules related to it. Subsequently, the concept of algorithm was extended to more and more complex objects: texts, pictures, logical formulas and physical objects, among others.<\/span><\/p><p><span style=\"font-weight: 400;\">Already essential in the field of computer programming, algorithms are becoming increasingly important in the age of <\/span><b>Big Data<\/b><span style=\"font-weight: 400;\"> and <\/span><a href=\"https:\/\/datascientest.com\/en\/artificial-intelligence-definitionhttps:\/\/datascientest.com\/en\/artificial-intelligence-definition\"><span style=\"font-weight: 400;\"><span style=\"text-decoration: underline;\"><strong>artificial intelligence<\/strong><\/span><\/span><\/a><span style=\"font-weight: 400;\">. So what are they actually? If you are looking for a clear and complete definition, you are in the right place&#8230;<\/span><\/p>\t\t\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-d51254c e-flex e-con-boxed e-con\" data-id=\"d51254c\" 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-d3caa55 elementor-widget elementor-widget-heading\" data-id=\"d3caa55\" 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\">What is an algorithm?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9db355b elementor-widget elementor-widget-text-editor\" data-id=\"9db355b\" 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;\">An algorithm is essentially a <\/span><b>step-by-step procedure<\/b><span style=\"font-weight: 400;\">. It is a set of rules to follow to accomplish a task or solve a problem.<\/span><\/p><p><span style=\"font-weight: 400;\">Long before the emergence of computers, humans were already using algorithms. We can consider that cooking recipes, mathematical operations or even the instructions for assembling a piece of furniture are <\/span><b>algorithms<\/b><span style=\"font-weight: 400;\">.<\/span><\/p><p><span style=\"font-weight: 400;\">In the field of computer programming, <\/span><b>algorithms are sets of rules<\/b><span style=\"font-weight: 400;\"> telling the computer how to perform a task. In reality, a computer program is an algorithm that tells the computer what steps to perform and in what order to accomplish a specific task. They are written using a programming language.<\/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-adf5e53 elementor-widget elementor-widget-spacer\" data-id=\"adf5e53\" 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-62e0840 e-flex e-con-boxed e-con\" data-id=\"62e0840\" 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-3e8e2b4 elementor-widget elementor-widget-heading\" data-id=\"3e8e2b4\" 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 algorithms?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-0e67e5e elementor-widget elementor-widget-spacer\" data-id=\"0e67e5e\" 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-a00c6c8 elementor-widget__width-initial elementor-widget elementor-widget-video\" data-id=\"a00c6c8\" data-element_type=\"widget\" data-settings=\"{&quot;youtube_url&quot;:&quot;https:\\\/\\\/www.youtube.com\\\/watch?v=e_WfC8HwVB8&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-398f9ac elementor-widget elementor-widget-text-editor\" data-id=\"398f9ac\" 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 a wide variety of algorithms, classified according to the concepts they use to accomplish a task. Here are the main categories:<\/span><\/p><p><b>Divide-and-conquer algorithms<\/b><span style=\"font-weight: 400;\"> divide a problem into several subproblems of the same type. These smaller problems are solved, and their solutions are combined to solve the original problem.<\/span><\/p><p><b>Brute force algorithms<\/b><span style=\"font-weight: 400;\"> test all possible solutions until the best one is found. A randomized algorithm uses a random number at least once during the calculation to find the solution to the problem.<\/span><\/p><p><span style=\"font-weight: 400;\">A <\/span><b>gluttonous algorithm<\/b><span style=\"font-weight: 400;\"> finds the optimal solution at the local level, in order to find an optimal solution for the global problem. A recursive algorithm solves the simplest version of a problem and then solves larger and larger versions until the solution to the original problem is found.<\/span><\/p><p><span style=\"font-weight: 400;\">A <\/span><b>traceback algorithm<\/b><span style=\"font-weight: 400;\"> divides the problem into sub-problems, which can be tried to solve one after the other. If the solution is not found, it is necessary to go back to the problem until a way is found to continue to advance.<\/span><\/p><p><span style=\"font-weight: 400;\">Finally, a <\/span><b>dynamic programming algorithm<\/b><span style=\"font-weight: 400;\"> is used to decompose a complex problem into a collection of simpler sub-problems. All these sub-problems are solved once, and their solution is stored for future use. This avoids having to recompute their solutions.<\/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-ceb3ac0 elementor-align-center button-principal elementor-widget elementor-widget-button\" data-id=\"ceb3ac0\" 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\/data-scientist-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 a Data Scientist training program<\/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<div class=\"elementor-element elementor-element-58d13de elementor-widget elementor-widget-spacer\" data-id=\"58d13de\" 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-ae4a379 e-flex e-con-boxed e-con\" data-id=\"ae4a379\" 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-85bb0a3 elementor-widget elementor-widget-heading\" data-id=\"85bb0a3\" 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 sorting algorithms?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5b1604e elementor-widget elementor-widget-text-editor\" data-id=\"5b1604e\" 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;\">A sorting algorithm allows placing the elements of a list in a certain order. This can be, for example, a numerical or lexicographical order. This organization is often important as a first step to solve more complex problems.<\/span><\/p><p><span style=\"font-weight: 400;\">There are <\/span><b>many<\/b> <b>sorting algorithms<\/b><span style=\"font-weight: 400;\">, with their advantages and disadvantages. Here are some examples:<\/span><\/p><ul><li style=\"font-weight: 400;\" aria-level=\"1\"><b>Linear sorting<\/b><span style=\"font-weight: 400;\"> algorithms find the smallest element of a list, sorts them, adds them to a new list and deletes them from the original list. This process is repeated until the original list is empty.<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><b>Bubble sorting<\/b><span style=\"font-weight: 400;\"> consists of comparing the first two elements of the list, and inverting them if the first is greater than the second. This process is repeated for each pair of adjacent elements in the list, and until the entire list is sorted.<\/span><\/li><\/ul><ul><li>Finally, <b>insertion sorting <\/b>consists of comparing each element in the list with the previous elements until a smaller element is found. The two elements are reversed, and the process is repeated until the entire list is sorted.<\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-406a133 elementor-widget elementor-widget-spacer\" data-id=\"406a133\" 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-cffe14a e-flex e-con-boxed e-con\" data-id=\"cffe14a\" 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-a5d3ee7 elementor-widget elementor-widget-heading\" data-id=\"a5d3ee7\" 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\">How are algorithms used in computer science?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5955c86 elementor-widget elementor-widget-text-editor\" data-id=\"5955c86\" 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 computer science, <\/span><b>algorithms are omnipresent<\/b><span style=\"font-weight: 400;\">. They are actually the backbone of computing, since an algorithm gives the computer a <\/span><b>specific set of instructions<\/b><span style=\"font-weight: 400;\">. It is these instructions that allow the computer to perform its tasks.\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">Computer programs themselves are algorithms written in programming languages. Algorithms also play a <\/span><b>key role in the operation of social networks<\/b><span style=\"font-weight: 400;\">, for example. They decide which publications are displayed or which advertisements are offered to the user.<\/span><\/p><p><span style=\"font-weight: 400;\">On search engines, algorithms are used to <\/span><b>optimize searches<\/b><span style=\"font-weight: 400;\">, predict what users will type and much more. Similarly, platforms like <\/span><b>Netflix<\/b><span style=\"font-weight: 400;\">, <\/span><b>YouTube<\/b><span style=\"font-weight: 400;\">, <\/span><b>Amazon<\/b><span style=\"font-weight: 400;\"> or <\/span><b>Spotify<\/b><span style=\"font-weight: 400;\"> rely on algorithms for their recommendation engines.<\/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-2408e9b elementor-widget elementor-widget-spacer\" data-id=\"2408e9b\" 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-4c51069 e-flex e-con-boxed e-con\" data-id=\"4c51069\" 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-021a47b elementor-widget elementor-widget-heading\" data-id=\"021a47b\" 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\">Why is it important to understand algorithms?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-35cce6f elementor-widget elementor-widget-text-editor\" data-id=\"35cce6f\" 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;\">Beyond computer science, algorithmic thinking is <\/span><b>crucial in many fields<\/b><span style=\"font-weight: 400;\">. It is the ability to define clear steps to solve a problem.<\/span><\/p><p><span style=\"font-weight: 400;\">In fact, we use this way of thinking every day and often without even realizing it. In the age of <\/span><span style=\"text-decoration: underline;\"><strong><a href=\"https:\/\/datascientest.com\/en\/data-science-definition-issues-and-use-cases\">Data Science<\/a><\/strong><\/span><span style=\"font-weight: 400;\">, <\/span><a href=\"https:\/\/datascientest.com\/en\/machine-learning-what-is-it-and-why-does-it-change-the-world\"><span style=\"font-weight: 400;\"><span style=\"text-decoration: underline;\"><strong>Machine Learning<\/strong><\/span><\/span><\/a><span style=\"font-weight: 400;\"> and <\/span><b>Artificial Intelligence<\/b><span style=\"font-weight: 400;\">, algorithms are more important than ever and are the fuel of the <\/span><b>new industrial revolution<\/b><span style=\"font-weight: 400;\">&#8230;<\/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-40c5a0e elementor-widget elementor-widget-spacer\" data-id=\"40c5a0e\" 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-90d8ac0 e-flex e-con-boxed e-con\" data-id=\"90d8ac0\" 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-2b4138d elementor-widget elementor-widget-heading\" data-id=\"2b4138d\" 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 Machine Learning algorithms?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8b5f9a6 elementor-widget elementor-widget-text-editor\" data-id=\"8b5f9a6\" 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;\">Machine Learning algorithms are programs that can <\/span><b>learn from data<\/b><span style=\"font-weight: 400;\">, and improve <\/span><b>autonomously without human intervention<\/b><span style=\"font-weight: 400;\"> by using previous experiences.<\/span><\/p><p><span style=\"font-weight: 400;\">Among the learning tasks they are able to perform, these algorithms can, for example,<\/span><b> learn the hidden structure of unlabeled data<\/b><span style=\"font-weight: 400;\">, or &#8220;<\/span><b>instance-based<\/b><span style=\"font-weight: 400;\">&#8221; learning, which consists of producing a category label for a new instance by comparing it to training data stored in memory.<\/span><\/p><p><span style=\"font-weight: 400;\">There are three main categories of Machine Learning algorithms:<\/span><b> supervised<\/b><span style=\"font-weight: 400;\">, <\/span><b>unsupervised<\/b><span style=\"font-weight: 400;\">, and <\/span><b>semi-supervised<\/b><span style=\"font-weight: 400;\">. Each of these categories is based on a different learning method.<\/span><\/p><p><b>Supervised learning <\/b><span style=\"font-weight: 400;\">uses labeled training data to learn the mapping function that transforms the input variables or output variables. After this learning, the algorithm can generate outputs from new inputs.<\/span><\/p><p><span style=\"font-weight: 400;\">Among the <\/span><b>supervised learning algorithms<\/b><span style=\"font-weight: 400;\">, we can talk about classification and regression algorithms. Classification is used to predict the outcome of a given sample when the output variable is in the form of categories. The <\/span><b>classification model<\/b><span style=\"font-weight: 400;\"> analyzes the input data and attempts to predict labels to classify them.\u00a0<\/span><\/p><p><b>Regression<\/b><span style=\"font-weight: 400;\"> is used to predict the outcome of a sample when the output variable is in <\/span><b>real-value form<\/b><span style=\"font-weight: 400;\">. From the input data, it will be, for example, to predict a volume, a size or a quantity. Examples of supervised learning algorithms include linear regression, logistic regression, naive Bayesian classification, and the K-nearest neighbor method.<\/span><\/p><p><span style=\"font-weight: 400;\">The <\/span><b>ensemble method<\/b><span style=\"font-weight: 400;\"> is another type of supervised learning. It consists in <\/span><b>combining the predictions<\/b><span style=\"font-weight: 400;\"> of multiple individually weak Machine Learning models to produce a more accurate prediction on a new sample. Examples include decision tree forest techniques, or boosting with XGBoost.<\/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-233f089 elementor-align-center button-principal elementor-widget elementor-widget-button\" data-id=\"233f089\" 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\/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 to use algorithms<\/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<div class=\"elementor-element elementor-element-8aa2a36 elementor-widget elementor-widget-text-editor\" data-id=\"8aa2a36\" 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>Unsupervised learning models<\/b>\u00a0are used when there is only one input variable and no corresponding output variable. They use\u00a0<b>unlabeled training data<\/b>\u00a0to model the underlying structure of the data. Here are three examples of techniques:<\/p><ul><li aria-level=\"1\"><b>Association<\/b>\u00a0is used to\u00a0<b>discover the probability<\/b>\u00a0of concurrency of items in a collection. It is widely used for shopping cart analysis in retail, especially to discover which items are frequently purchased together.<\/li><\/ul><ul><li aria-level=\"1\"><b>Clustering<\/b>\u00a0is used to\u00a0<b>group samples<\/b>\u00a0so that different items within the same cluster are more similar to each other than to items in another cluster.<\/li><\/ul><ul><li aria-level=\"1\">Finally,\u00a0<b>dimensionality<\/b>\u00a0reduction is\u00a0<b>used to reduce the number of variables<\/b>\u00a0within a data set while ensuring that important information is conveyed.<\/li><\/ul><p>\u00a0<\/p><p>This can be achieved by using<b>\u00a0feature extraction<\/b>\u00a0or<b>\u00a0feature selection methods<\/b>. Feature selection involves choosing a subset from the original variables, while extraction performs a transformation of the data to reduce the dimension. Examples of unsupervised algorithms include k-means and PCA.<\/p><p><b>Reinforcement learning<\/b>\u00a0is a third type of Machine Learning. It allows the agent to decide the\u00a0<b>best action\u00a0<\/b>to take based on its current state, by learning which behaviors maximize its rewards.<\/p><p>In general,\u00a0<b>reinforcement algorithms\u00a0<\/b>learn the\u00a0<b>optimal actions<\/b>\u00a0by trying and failing many times in a row. If we take the example of a video game in which the player must go to a specific location to earn points, the algorithm will start by\u00a0<b>moving randomly<\/b>\u00a0and then learn where it should go by trying to maximize its rewards.<\/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-7b4f71b elementor-widget elementor-widget-spacer\" data-id=\"7b4f71b\" 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-54eb614 e-flex e-con-boxed e-con\" data-id=\"54eb614\" 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-4737e98 elementor-widget elementor-widget-heading\" data-id=\"4737e98\" 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\">How to learn to use algorithms?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8dce6b3 elementor-widget elementor-widget-text-editor\" data-id=\"8dce6b3\" 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;\">Knowledge and mastery of algorithms are essential for working in the field of <\/span><b>Computer Science<\/b><span style=\"font-weight: 400;\">, <\/span><b>Data Science<\/b><span style=\"font-weight: 400;\"> or <\/span><b>Artificial Intelligence<\/b><span style=\"font-weight: 400;\">.<\/span><\/p><p><span style=\"font-weight: 400;\">To acquire this expertise, you can turn to <\/span><b>DataScientest\u2019s training program<\/b><span style=\"font-weight: 400;\">. Our Data Scientist training will teach you how to handle algorithms, and will give you all the skills to become a Data Scientist.<\/span><\/p><p><span style=\"font-weight: 400;\">In addition to algorithms, you will also learn how to manipulate <\/span><b>databases<\/b><span style=\"font-weight: 400;\"> and handle <\/span><b>Big Data tools<\/b><span style=\"font-weight: 400;\">, <\/span><span style=\"text-decoration: underline;\"><strong><a href=\"https:\/\/datascientest.com\/en\/python-or-r-which-to-choose\">Python programming<\/a><\/strong><\/span><span style=\"font-weight: 400;\">, and various\u00a0 <\/span><b>Machine Learning<\/b><span style=\"font-weight: 400;\">and <\/span><b>Deep Learning<\/b><span style=\"font-weight: 400;\"> techniques.<\/span><\/p><p><span style=\"font-weight: 400;\">At the end of the course, you will receive a degree certified by the <\/span><b>Sorbonne University<\/b><span style=\"font-weight: 400;\"> and you will be ready to work as a <\/span><a href=\"https:\/\/datascientest.com\/en\/data-scientist-course\"><span style=\"font-weight: 400;\"><span style=\"text-decoration: underline;\"><strong>Data Scientis<\/strong><strong>t<\/strong><\/span><\/span><\/a><span style=\"font-weight: 400;\">. Among our alumni, 93% found a job immediately after their training.<\/span><\/p><p><span style=\"font-weight: 400;\">All of our training courses adopt a <\/span><b>Blended Learning<\/b><span style=\"font-weight: 400;\"> approach combining face-to-face and distance learning, and can be done in BootCamp or Continuous training.<\/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-b8dbaae elementor-widget elementor-widget-spacer\" data-id=\"b8dbaae\" 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-95bc256 e-flex e-con-boxed e-con\" data-id=\"95bc256\" 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-d3d0e69 elementor-align-center button-principal elementor-widget elementor-widget-button\" data-id=\"d3d0e69\" 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\/data-scientist-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\">Learn more about Data Scientist training<\/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-5830091 e-flex e-con-boxed e-con\" data-id=\"5830091\" 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-d8d65ce elementor-widget elementor-widget-html\" data-id=\"d8d65ce\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<script type=\"application\/ld+json\">\r\n{\r\n  \"@context\": \"https:\/\/schema.org\",\r\n  \"@type\": \"FAQPage\",\r\n  \"mainEntity\": [{\r\n    \"@type\": \"Question\",\r\n    \"name\": \"What is an algorithm?\",\r\n    \"acceptedAnswer\": {\r\n      \"@type\": \"Answer\",\r\n      \"text\": \"An algorithm is essentially a step-by-step procedure. 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Find out everything you need to know about them: definition, functioning, use cases, training&#8230; The term &#8220;algorithm&#8221; derives from the name of the great Persian mathematician Al Khwarizmi, who lived around the year 820 and who introduced decimal numbering to the West [&hellip;]<\/p>\n","protected":false},"author":63,"featured_media":166215,"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>Algorithm: What is it and what is it used for?<\/title>\n<meta name=\"description\" content=\"Algorithms are essential in computer science, especially for Data Science and Machine Learning. 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