{"id":178255,"date":"2024-03-08T19:37:40","date_gmt":"2024-03-08T18:37:40","guid":{"rendered":"https:\/\/datascientest.com\/en\/?p=178255"},"modified":"2024-02-11T21:58:41","modified_gmt":"2024-02-11T20:58:41","slug":"kernel-everything-you-need-to-know-about-the-machine-learning-method","status":"publish","type":"post","link":"https:\/\/datascientest.com\/en\/kernel-everything-you-need-to-know-about-the-machine-learning-method","title":{"rendered":"Kernel: everything you need to know about the Machine Learning method"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"178255\" class=\"elementor elementor-178255\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-35be1ee e-flex e-con-boxed e-con\" data-id=\"35be1ee\" 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<div class=\"elementor-element elementor-element-d0047e0 e-con-full e-flex e-con\" data-id=\"d0047e0\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-90c5f2e elementor-widget elementor-widget-heading\" data-id=\"90c5f2e\" 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 Kernel is a Machine Learning classification method. Find out everything you need to know about it, and how to train to become a Data Scientist or Data Analyst. <\/h2>\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-9491793 e-flex e-con-boxed e-con\" data-id=\"9491793\" 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<div class=\"elementor-element elementor-element-fea8507 e-con-full e-flex e-con\" data-id=\"fea8507\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-ed23781 elementor-widget elementor-widget-heading\" data-id=\"ed23781\" 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 Kernel?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e0cfbfe elementor-widget elementor-widget-text-editor\" data-id=\"e0cfbfe\" 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>In <a href=\"https:\/\/datascientest.com\/en\/automl-and-machine-learning-automation-a-threat-to-data-scientists\">Machine Learning,<\/a> the Kernel method consists of using a linear classifier to solve a non-linear problem. This is achieved by transforming a linearly inseparable set of data into a linearly separable set, as in the example below, by passing it into a higher-dimensional space.<\/p>\t\t\t\t\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-59295b2 e-flex e-con-boxed e-con\" data-id=\"59295b2\" 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<div class=\"elementor-element elementor-element-70bd633 e-con-full e-flex e-con\" data-id=\"70bd633\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-bb65731 elementor-widget elementor-widget-image\" data-id=\"bb65731\" data-element_type=\"widget\" data-widget_type=\"image.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-image{text-align:center}.elementor-widget-image a{display:inline-block}.elementor-widget-image a img[src$=\".svg\"]{width:48px}.elementor-widget-image img{vertical-align:middle;display:inline-block}<\/style>\t\t\t\t\t\t\t\t\t<figure class=\"wp-caption\">\n\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2022\/06\/jeux-de-donnees-lineaires-non-lineaires.jpg\" title=\"\" alt=\"jeux-de-donn\u00e9es-lin\u00e9aires-non-lin\u00e9aires\" loading=\"lazy\" \/>\t\t\t\t\t\t\t\t\t\t\t<figcaption class=\"widget-image-caption wp-caption-text\"><\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\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-7dab951 e-flex e-con-boxed e-con\" data-id=\"7dab951\" 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<div class=\"elementor-element elementor-element-da66249 e-con-full e-flex e-con\" data-id=\"da66249\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-d45c871 elementor-widget elementor-widget-heading\" data-id=\"d45c871\" 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 Kernel used for?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2489e65 elementor-widget elementor-widget-text-editor\" data-id=\"2489e65\" 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>For example, <strong>kernel<\/strong> is very useful for separating two classes within a two-dimensional data set, where the data is not linearly separable.<\/p><p>Using a polynomial function would <a href=\"https:\/\/datascientest.com\/en\/management-of-unbalanced-classification-problems-i\">complicate the classification problem.<\/a> It is therefore preferable to transform the data into a 3D space where the data becomes separable by a linear classifier.<\/p><p>It then becomes possible to transform the data from 2D to 3D, find a linear decision boundary by adapting the linear classifier in 3D space, and map the linear decision boundary back into 2D space to create a non-linear decision boundary in 2D.<\/p>\t\t\t\t\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-28c14c4 e-flex e-con-boxed e-con\" data-id=\"28c14c4\" 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<div class=\"elementor-element elementor-element-b1dd3cd e-con-full e-flex e-con\" data-id=\"b1dd3cd\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-bfb6de0 elementor-widget elementor-widget-image\" data-id=\"bfb6de0\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t<figure class=\"wp-caption\">\n\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2022\/04\/kernel-classification-lineaire.jpg\" title=\"\" alt=\"kernel-classification-lin\u00e9aire\" loading=\"lazy\" \/>\t\t\t\t\t\t\t\t\t\t\t<figcaption class=\"widget-image-caption wp-caption-text\"><\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\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-de33fa9 e-flex e-con-boxed e-con\" data-id=\"de33fa9\" 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-5016805 elementor-align-center button-principal elementor-widget elementor-widget-button\" data-id=\"5016805\" 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\">Mastering the Kernel method<\/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-487aca5 e-flex e-con-boxed e-con\" data-id=\"487aca5\" 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<div class=\"elementor-element elementor-element-215d5e9 e-con-full e-flex e-con\" data-id=\"215d5e9\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-eb937f1 elementor-widget elementor-widget-heading\" data-id=\"eb937f1\" 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\">Where is the Kernel used?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-88609c8 elementor-widget elementor-widget-text-editor\" data-id=\"88609c8\" 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>There are <strong>various kernel-based<\/strong> <a href=\"https:\/\/datascientest.com\/en\/boosting-business-with-3-essential-machine-learning-algorithms\">algorithms in Machine Learning,<\/a> such as the Regularised Radial Basis Function (Rdg RBFNN), the <a href=\"https:\/\/datascientest.com\/en\/svm-support-vector-machines-unveiled-understanding-implementation-significance\">Support Vector Machine (SVM)<\/a>, the Kernel-Fisher discriminant analysis (KFD), or the Regularised Adaboost (Reg AB). Among these models, the most widely used approach is the Support Vector Machine (SVM).<\/p><p>A distinction is made between the <a href=\"https:\/\/datascientest.com\/en\/svm-support-vector-machines-unveiled-understanding-implementation-significance-part-2\">classic linear SVM<\/a> for linear classification and the non-linear SVM for which the Kernel is used to map patterns from the lowest to the highest dimensions.<\/p><p>This method makes it possible to process linearly inseparable data and create non-linear combinations of the original features into a higher-dimensional space via a mapping function where linear separation becomes possible. The most commonly used kernel for <strong>SVM is the RBF kernel or the Gaussian kernel.<\/strong><\/p>\t\t\t\t\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-0a3d902 e-con-full e-flex e-con\" data-id=\"0a3d902\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-37ddf87 elementor-widget elementor-widget-image\" data-id=\"37ddf87\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t<figure class=\"wp-caption\">\n\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2022\/06\/kernel-gaussien.jpg\" title=\"\" alt=\"kernel-gaussien\" loading=\"lazy\" \/>\t\t\t\t\t\t\t\t\t\t\t<figcaption class=\"widget-image-caption wp-caption-text\"><\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-94979dc e-flex e-con-boxed e-con\" data-id=\"94979dc\" 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<div class=\"elementor-element elementor-element-a394fe4 e-con-full e-flex e-con\" data-id=\"a394fe4\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-d386eb3 elementor-widget elementor-widget-heading\" data-id=\"d386eb3\" 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\">Can I learn how to use Kernel?<\/h3>\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-c4e03ba e-flex e-con-boxed e-con\" data-id=\"c4e03ba\" 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<div class=\"elementor-element elementor-element-c553ff4 e-con-full e-flex e-con\" data-id=\"c553ff4\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-d3663f6 elementor-widget elementor-widget-text-editor\" data-id=\"d3663f6\" 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>To learn about<a href=\"https:\/\/datascientest.com\/en\/boosting-business-with-3-essential-machine-learning-algorithms\"> Machine Learning methods<\/a>, you can choose one of the programmes powerede by DataScientest. Several of our courses include a module entirely <a href=\"https:\/\/datascientest.com\/en\/automl-and-machine-learning-automation-a-threat-to-data-scientists\">dedicated to machine learning.<\/a><\/p><p>The Machine Learning module in the Data Analyst course covers clustering and regression methods using <a href=\"https:\/\/datascientest.com\/en\/scikit-learn-discover-the-python-library-dedicated-to-machine-learning\">Scikit-learn<\/a>. The other modules in this course cover programming, DataViz, databases and Business Intelligence.<\/p><p>By the end of the course, you will have all the skills required to perform the role of Data Analyst.<\/p><p>Our Data Scientist course includes two modules dedicated to Machine Learning. The first covers supervised Machine Learning, with regression methods and simple and <a href=\"https:\/\/datascientest.com\/en\/management-of-unbalanced-classification-problems-ii\">advanced classification.<\/a> The second focuses on unsupervised learning, including clustering and dimension reduction methods.<\/p><p>The subjects of Statsmodel, <a href=\"https:\/\/datascientest.com\/en\/text-mining-what-you-didnt-know\">Text Mining<\/a> and NetworkX are also studied in this course. The other modules in the programme are dedicated to programming, <a href=\"https:\/\/datascientest.com\/en\/dataviz-definition-objectives-and-uses\">DataViz<\/a>, Deep Learning and AI. This course enables you to acquire all the skills you need to become a Data Scientist.<\/p>\t\t\t\t\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-daf9018 e-flex e-con-boxed e-con\" data-id=\"daf9018\" 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-0b3325f elementor-align-center button-principal elementor-widget elementor-widget-button\" data-id=\"0b3325f\" 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-analyst-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 Data Analyst training 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-7fca918 e-con-full e-flex e-con\" data-id=\"7fca918\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-d756e2b elementor-widget elementor-widget-text-editor\" data-id=\"d756e2b\" 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>To take things further, we also offer an expert <strong>Machine Learning Engineer course.<\/strong> This 7-month continuous training course or 16-month part-time course complements the Data Scientist course. It teaches you how to put Machine Learning models into production using engineering techniques, which is a highly sought-after skill in business.<\/p><p>All our courses are online, and comprise 85% asynchronous learning on our coached platform and 15% synchronous distance learning.<\/p><p>With the exception of the expert courses, our programmes can be completed via continuing education or intensive bootcamps.<\/p><p>As far as funding is concerned, all our courses are eligible for funding options. 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