{"id":2392,"date":"2023-09-14T11:33:13","date_gmt":"2023-09-14T09:33:13","guid":{"rendered":"https:\/\/www.a2d.ai\/to\/"},"modified":"2025-12-05T18:08:49","modified_gmt":"2025-12-05T17:08:49","slug":"to","status":"publish","type":"page","link":"https:\/\/www.a2d.ai\/en\/our-expertise\/to\/","title":{"rendered":"TO"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"2392\" class=\"elementor elementor-2392\" data-elementor-post-type=\"page\">\n\t\t\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-686e99bc e-flex e-con-boxed e-con e-child\" data-id=\"686e99bc\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-36a2d6f5 elementor-widget elementor-widget-breadcrumbs\" data-id=\"36a2d6f5\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"breadcrumbs.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<p id=\"breadcrumbs\"><ul><li><a href=\"https:\/\/www.a2d.ai\/en\/home-2\/\">Home<\/a><\/li><\/ul><\/p>\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 data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-1fd18f7a e-con-full e-flex e-con e-parent\" data-id=\"1fd18f7a\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-5a883da1 e-con-full e-flex e-con e-child\" data-id=\"5a883da1\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-17ff569c elementor-widget elementor-widget-heading\" data-id=\"17ff569c\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h1 class=\"elementor-heading-title elementor-size-default\">to: THE INTERNAL WORKS OF TRANSFORMATION<\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-2c9e3931 e-flex e-con-boxed e-con e-child\" data-id=\"2c9e3931\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&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<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-4fb6c546 e-flex e-con-boxed e-con e-child\" data-id=\"4fb6c546\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-4c7c159a e-con-full e-flex e-con e-child\" data-id=\"4c7c159a\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;motion_fx_motion_fx_scrolling&quot;:&quot;yes&quot;,&quot;motion_fx_translateY_effect&quot;:&quot;yes&quot;,&quot;motion_fx_translateY_speed&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:2,&quot;sizes&quot;:[]},&quot;motion_fx_translateY_affectedRange&quot;:{&quot;unit&quot;:&quot;%&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:{&quot;start&quot;:0,&quot;end&quot;:100}},&quot;motion_fx_devices&quot;:[&quot;desktop&quot;,&quot;tablet&quot;,&quot;mobile&quot;]}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-2f8fda23 elementor-widget elementor-widget-image\" data-id=\"2f8fda23\" data-element_type=\"widget\" data-e-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\t\t\t<img decoding=\"async\" width=\"54\" height=\"47\" src=\"https:\/\/www.a2d.ai\/wp-content\/uploads\/2023\/09\/icon-to.svg\" class=\"attachment-large size-large wp-image-2449\" alt=\"\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-438359a9 elementor-widget elementor-widget-text-editor\" data-id=\"438359a9\" data-element_type=\"widget\" data-e-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\t\t<p>The aim of the processing chain is to extract, step by step, the elements needed to make a decision from the raw data. Once the noise has been removed, the filtered data is used to create coherent sets to feed the learning algorithms, which then use other coherent data sets to test performance. <\/p>\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 data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-99c2087 e-flex e-con-boxed e-con e-child\" data-id=\"99c2087\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-79d7d8ae e-flex e-con-boxed e-con e-child\" data-id=\"79d7d8ae\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-3ce0099c elementor-widget elementor-widget-heading\" data-id=\"3ce0099c\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Pre-treatment<\/h2>\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 data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-5f44cb4e e-con-full e-flex e-con e-child\" data-id=\"5f44cb4e\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-10bb160f e-flex e-con-boxed e-con e-child\" data-id=\"10bb160f\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-2b9e0257 elementor-widget elementor-widget-heading\" data-id=\"2b9e0257\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">We design your solution as a sequence of processes using a sequence of operators. Our representation is similar to that of an automaton. <\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6225dd02 elementor-widget elementor-widget-text-editor\" data-id=\"6225dd02\" data-element_type=\"widget\" data-e-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\t\t<p>An application is defined as a response to a problem in the form of a sequence of actions. Each action is performed in response to a specific situation, and it is the sequence of these actions that leads to the objective. <\/p><p>The classic operators are :<\/p><ul><li>denoising,<\/li><li>filtering,<\/li><li>segmentation,<\/li><li>binarization.<\/li><\/ul>\t\t\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 data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-3fd6a7d4 e-flex e-con-boxed e-con e-child\" data-id=\"3fd6a7d4\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-1f1fbccc elementor-widget elementor-widget-image\" data-id=\"1f1fbccc\" data-element_type=\"widget\" data-e-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\t\t\t<img fetchpriority=\"high\" decoding=\"async\" width=\"560\" height=\"420\" src=\"https:\/\/www.a2d.ai\/wp-content\/uploads\/2023\/09\/lena.png\" class=\"attachment-large size-large wp-image-2599\" alt=\"\" srcset=\"https:\/\/www.a2d.ai\/wp-content\/uploads\/2023\/09\/lena.png 560w, https:\/\/www.a2d.ai\/wp-content\/uploads\/2023\/09\/lena-300x225.png 300w\" sizes=\"(max-width: 560px) 100vw, 560px\" \/>\t\t\t\t\t\t\t\t\t\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\t\t<\/div>\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-508939dc e-con-full e-flex e-con e-child\" data-id=\"508939dc\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-1e93816e e-flex e-con-boxed e-con e-child\" data-id=\"1e93816e\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-2a32f0d9 elementor-widget elementor-widget-heading\" data-id=\"2a32f0d9\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">We are experts in :<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-61afb501 elementor-widget elementor-widget-text-editor\" data-id=\"61afb501\" data-element_type=\"widget\" data-e-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\t\t<ul>\n \t<li>operator modeling,<\/li>\n \t<li>optimization of operator chain parameters,<\/li>\n \t<li>real-time implementation of a chain of operators.<\/li>\n<\/ul>\t\t\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 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data-name=\"Trac&#xE9; 33754\" d=\"M41.639,28.045a1.865,1.865,0,1,0-1.865,1.865,1.865,1.865,0,0,0,1.865-1.865\" transform=\"translate(-0.896 -0.619)\" fill=\"#01516c\"><\/path><path id=\"Trac&#xE9;_33755\" data-name=\"Trac&#xE9; 33755\" d=\"M35.486,28.049A1.683,1.683,0,1,0,33.8,29.732a1.684,1.684,0,0,0,1.683-1.683\" transform=\"translate(-0.759 -0.623)\" fill=\"#01516c\"><\/path><path id=\"Trac&#xE9;_33756\" data-name=\"Trac&#xE9; 33756\" d=\"M17.126,4.161A1.238,1.238,0,1,0,15.888,5.4a1.237,1.237,0,0,0,1.238-1.237\" transform=\"translate(-0.346 -0.069)\" fill=\"#01516c\"><\/path><path id=\"Trac&#xE9;_33757\" data-name=\"Trac&#xE9; 33757\" d=\"M4.952,4.167A1.008,1.008,0,1,0,3.945,5.174,1.008,1.008,0,0,0,4.952,4.167\" transform=\"translate(-0.069 -0.075)\" fill=\"#01516c\"><\/path><path id=\"Trac&#xE9;_33758\" data-name=\"Trac&#xE9; 33758\" d=\"M11.033,4.164A1.117,1.117,0,1,0,9.916,5.28a1.117,1.117,0,0,0,1.117-1.116\" transform=\"translate(-0.208 -0.072)\" fill=\"#01516c\"><\/path><path id=\"Trac&#xE9;_33759\" data-name=\"Trac&#xE9; 33759\" d=\"M7.991,1.178A1.061,1.061,0,1,0,6.929,2.24,1.06,1.06,0,0,0,7.991,1.178\" transform=\"translate(-0.139 -0.003)\" fill=\"#01516c\"><\/path><path id=\"Trac&#xE9;_33760\" data-name=\"Trac&#xE9; 33760\" d=\"M13.877,1.833A1.176,1.176,0,1,0,11.75.938a1.192,1.192,0,0,0-.024.237,1.175,1.175,0,0,0,.024.236,1.17,1.17,0,0,0,.32.595,1.175,1.175,0,0,0,1.806-.174\" transform=\"translate(-0.277 0)\" fill=\"#01516c\"><\/path><\/g><\/svg>\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-41c697b elementor-widget elementor-widget-heading\" data-id=\"41c697b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Building learning sets<\/h2>\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 data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-6a72ea56 e-flex e-con-boxed e-con e-child\" data-id=\"6a72ea56\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-154fbdfb e-flex e-con-boxed e-con e-child\" data-id=\"154fbdfb\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-711050cd elementor-widget elementor-widget-heading\" data-id=\"711050cd\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">We call \"Data Landscape\" the set of data characterizing the problem to be solved.<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1e418a08 elementor-widget elementor-widget-text-editor\" data-id=\"1e418a08\" data-element_type=\"widget\" data-e-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\t\tCharacterization is fundamental to understanding the topology of these landscapes, so that the right classification tools can be applied.\n\nIn addition, as infrastructures age slowly or break up abruptly, the landscape changes: data groups slide in relation to each other, rendering classification tools obsolete.\n\nNot taking this variability of the data landscape into account translates into an increase in data classification:\n<ul>\n \t<li>Confusing measures<\/li>\n \t<li>Ambiguity measures<\/li>\n \t<li>Distance rejection measures<\/li>\n<\/ul>\nOur data set characterizations :\n<ul>\n \t<li>Factor analysis<\/li>\n \t<li>Spectral analysis<\/li>\n \t<li>Metric<\/li>\n<\/ul>\t\t\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 data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-61b8ca1d e-con-full e-flex e-con e-child\" data-id=\"61b8ca1d\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-3cc9bb38 elementor-widget elementor-widget-image\" data-id=\"3cc9bb38\" data-element_type=\"widget\" data-e-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\t\t\t<img decoding=\"async\" width=\"417\" height=\"261\" src=\"https:\/\/www.a2d.ai\/wp-content\/uploads\/2023\/09\/ensemble-apprentissage.png\" class=\"attachment-large size-large wp-image-2600\" alt=\"\" srcset=\"https:\/\/www.a2d.ai\/wp-content\/uploads\/2023\/09\/ensemble-apprentissage.png 417w, https:\/\/www.a2d.ai\/wp-content\/uploads\/2023\/09\/ensemble-apprentissage-300x188.png 300w\" sizes=\"(max-width: 417px) 100vw, 417px\" \/>\t\t\t\t\t\t\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\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-1994471 e-flex e-con-boxed e-con e-child\" data-id=\"1994471\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-7b3c518 e-flex e-con-boxed e-con e-child\" data-id=\"7b3c518\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-d124bf6 elementor-widget elementor-widget-heading\" data-id=\"d124bf6\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Learning<\/h2>\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 data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-cfe90ac e-con-full e-flex e-con e-child\" data-id=\"cfe90ac\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-20eb0c7 e-flex e-con-boxed e-con e-child\" data-id=\"20eb0c7\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-a988988 elementor-widget elementor-widget-heading\" data-id=\"a988988\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">The data is now available in the form of a landscape, and we need to determine the homogeneous zones that form the categories that are the subject of the problem to be solved.<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f59a86f elementor-widget elementor-widget-text-editor\" data-id=\"f59a86f\" data-element_type=\"widget\" data-e-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\t\t<p>Learning consists in constructing these boundaries using a suitable algorithm; the strategy for presenting the data to the algorithm is fundamental to converge towards a successful generalization, and not to drift towards over-learning.<\/p><p>The result is a component in the form of a software brick representing the data set and the learning modalities.<\/p>\t\t\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 data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-90b2cf9 e-flex e-con-boxed e-con e-child\" data-id=\"90b2cf9\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-c5d07f4 elementor-widget elementor-widget-image\" data-id=\"c5d07f4\" data-element_type=\"widget\" data-e-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\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"366\" height=\"283\" src=\"https:\/\/www.a2d.ai\/wp-content\/uploads\/2023\/09\/classification.png\" class=\"attachment-large size-large wp-image-2603\" alt=\"\" srcset=\"https:\/\/www.a2d.ai\/wp-content\/uploads\/2023\/09\/classification.png 366w, https:\/\/www.a2d.ai\/wp-content\/uploads\/2023\/09\/classification-300x232.png 300w\" sizes=\"(max-width: 366px) 100vw, 366px\" \/>\t\t\t\t\t\t\t\t\t\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\t\t<\/div>\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-386478d e-con-full e-flex e-con e-child\" data-id=\"386478d\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-251d83b e-flex e-con-boxed e-con e-child\" data-id=\"251d83b\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-9aa4604 elementor-widget elementor-widget-heading\" data-id=\"9aa4604\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">We are specialists in all high-performance approaches such as :<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9de0e23 elementor-widget elementor-widget-text-editor\" data-id=\"9de0e23\" data-element_type=\"widget\" data-e-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\t\t<ul><li>Probabilistic (Baye, Markov, &#8230;)<\/li><li>Non-probabilistic (Beliefs, Possibilities, &#8230;)<\/li><li>Connexionnistes (supervised or unsupervised)<\/li><\/ul>\t\t\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 data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-38a14e7 e-flex e-con-boxed e-con e-child\" data-id=\"38a14e7\" data-element_type=\"container\" data-e-type=\"container\">\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<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>to: THE INTERNAL WORKS OF TRANSFORMATION The aim of the processing chain is to extract, step by step, the elements needed to make a decision from the raw data. Once the noise has been removed, the filtered data is used to create coherent sets to feed the learning algorithms, which then use other coherent data [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":2402,"menu_order":2,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-2392","page","type-page","status-publish","hentry"],"acf":[],"yoast_head":"<title>A2D | To - Decipher your data for strategic decisions<\/title>\n<meta name=\"description\" content=\"Our processing chain aims to extract, step by step, the elements required for decision-making from the raw data.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.a2d.ai\/en\/our-expertise\/to\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"A2D | To - 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