{"id":482,"date":"2022-06-06T23:23:31","date_gmt":"2022-06-06T23:23:31","guid":{"rendered":"http:\/\/ml4data.com\/?page_id=482"},"modified":"2023-06-15T02:49:52","modified_gmt":"2023-06-15T02:49:52","slug":"blog","status":"publish","type":"page","link":"https:\/\/ml4data.com\/index.php\/blog\/","title":{"rendered":"Blog"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"482\" class=\"elementor elementor-482\">\n\t\t\t\t\t\t\t\t\t<section class=\"ob-is-breaking-bad elementor-section elementor-top-section elementor-element elementor-element-9b9465a elementor-section-height-full elementor-section-full_width elementor-section-height-default elementor-section-items-middle\" data-id=\"9b9465a\" data-element_type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;_ob_bbad_use_it&quot;:&quot;yes&quot;,&quot;_ob_bbad_sssic_use&quot;:&quot;no&quot;,&quot;_ob_glider_is_slider&quot;:&quot;no&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-no\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-cdec1d4 elementor-invisible\" data-id=\"cdec1d4\" data-element_type=\"column\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;animation&quot;:&quot;fadeIn&quot;,&quot;_ob_bbad_is_stalker&quot;:&quot;no&quot;,&quot;_ob_teleporter_use&quot;:false,&quot;_ob_column_hoveranimator&quot;:&quot;no&quot;,&quot;_ob_column_has_pseudo&quot;:&quot;no&quot;}\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t<div class=\"elementor-background-overlay\"><\/div>\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-bf2c36b ob-harakiri-inherit ob-has-background-overlay elementor-widget elementor-widget-heading\" data-id=\"bf2c36b\" data-element_type=\"widget\" data-settings=\"{&quot;_ob_use_harakiri&quot;:&quot;yes&quot;,&quot;_ob_harakiri_writing_mode&quot;:&quot;inherit&quot;,&quot;_ob_harakiri_text_clip&quot;:&quot;none&quot;,&quot;_ob_perspektive_use&quot;:&quot;no&quot;,&quot;_ob_poopart_use&quot;:&quot;yes&quot;,&quot;_ob_shadough_use&quot;:&quot;no&quot;,&quot;_ob_allow_hoveranimator&quot;:&quot;no&quot;,&quot;_ob_widget_stalker_use&quot;:&quot;no&quot;}\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.11.5 - 14-03-2023 *\/\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><h1 class=\"elementor-heading-title elementor-size-default\">News and current events \nof Machine Learning<\/h1>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2e2feef ob-harakiri-inherit ob-has-background-overlay elementor-widget elementor-widget-heading\" data-id=\"2e2feef\" data-element_type=\"widget\" data-settings=\"{&quot;_ob_use_harakiri&quot;:&quot;yes&quot;,&quot;_ob_harakiri_writing_mode&quot;:&quot;inherit&quot;,&quot;_ob_harakiri_text_clip&quot;:&quot;none&quot;,&quot;_ob_perspektive_use&quot;:&quot;no&quot;,&quot;_ob_poopart_use&quot;:&quot;yes&quot;,&quot;_ob_shadough_use&quot;:&quot;no&quot;,&quot;_ob_allow_hoveranimator&quot;:&quot;no&quot;,&quot;_ob_widget_stalker_use&quot;:&quot;no&quot;}\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\"> BEING UPDATED AND KNOWING WHAT IS NEW \nWILL BOOST YOUR BUSINESS<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9bd7a61 elementor-button-info elementor-align-left ob-has-background-overlay elementor-widget elementor-widget-button\" data-id=\"9bd7a61\" data-element_type=\"widget\" data-settings=\"{&quot;_ob_butterbutton_use_it&quot;:&quot;no&quot;,&quot;_ob_perspektive_use&quot;:&quot;no&quot;,&quot;_ob_poopart_use&quot;:&quot;yes&quot;,&quot;_ob_shadough_use&quot;:&quot;no&quot;,&quot;_ob_allow_hoveranimator&quot;:&quot;no&quot;,&quot;_ob_widget_stalker_use&quot;:&quot;no&quot;}\" 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 href=\"https:\/\/ml4data.com\/index.php\/contact\/\" 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elementor-widget-image\" data-id=\"d19470f\" data-element_type=\"widget\" data-settings=\"{&quot;_ob_photomorph_use&quot;:&quot;no&quot;,&quot;_ob_perspektive_use&quot;:&quot;no&quot;,&quot;_ob_poopart_use&quot;:&quot;yes&quot;,&quot;_ob_shadough_use&quot;:&quot;no&quot;,&quot;_ob_allow_hoveranimator&quot;:&quot;no&quot;,&quot;_ob_widget_stalker_use&quot;:&quot;no&quot;}\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.11.5 - 14-03-2023 *\/\n.elementor-widget-image{text-align:center}.elementor-widget-image a{display:inline-block}.elementor-widget-image a img[src$=\".svg\"]{width:48px}.elementor-widget-image img{vertical-align:middle;display:inline-block}<\/style>\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"2048\" height=\"1356\" src=\"https:\/\/ml4data.com\/wp-content\/uploads\/2022\/06\/blog-banner-2048x1356.webp\" class=\"attachment-2048x2048 size-2048x2048 wp-image-540\" alt=\"\" loading=\"lazy\" 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data-settings=\"{&quot;_ob_bbad_is_stalker&quot;:&quot;no&quot;,&quot;_ob_teleporter_use&quot;:false,&quot;_ob_column_hoveranimator&quot;:&quot;no&quot;,&quot;_ob_column_has_pseudo&quot;:&quot;no&quot;}\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-49291eb ob-has-background-overlay elementor-widget elementor-widget-blogmentor_blog_posts\" data-id=\"49291eb\" data-element_type=\"widget\" data-settings=\"{&quot;_ob_perspektive_use&quot;:&quot;no&quot;,&quot;_ob_poopart_use&quot;:&quot;yes&quot;,&quot;_ob_shadough_use&quot;:&quot;no&quot;,&quot;_ob_allow_hoveranimator&quot;:&quot;no&quot;,&quot;_ob_widget_stalker_use&quot;:&quot;no&quot;}\" data-widget_type=\"blogmentor_blog_posts.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\n\t\t\t\t<script>\n\tjQuery(function($) {\n    \/\/ init Masonry\n    var $grid = $('.bm-masonry-grid').masonry({\n        \/\/ options\n      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https:\/\/ml4data.com\/wp-content\/uploads\/2023\/08\/perplex2-2048x1366.png 2048w, https:\/\/ml4data.com\/wp-content\/uploads\/2023\/08\/perplex2-600x400.png 600w\" sizes=\"(max-width: 1536px) 100vw, 1536px\" \/>\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<div class=\"bm-masonry-wrapper\">\n\t\t\t\t\t<div class=\"bm-masonry-title\">\n\t\t\t\t\t<h4 class=\"bm_title\"><a href=\"https:\/\/ml4data.com\/index.php\/2023\/08\/27\/perplejidad-para-medir-relevancia-de-textos-en-un-contexto-especifico\/\" rel=\"bookmark\">Perplejidad para medir relevancia de textos en un contexto espec\u00edfico<\/a><\/h4>\t\t\t\t\t<\/div>\n\t\t\t\t\t<div class=\"bm-masonry-desc bm_content\">\n\t\t\t\t\tLa perplejidad es una medida estad\u00edstica de cu\u00e1n confiadamente un modelo de lenguaje pre entrenado predice un texto. En otras palabras, la perplejidad cuantifica qu\u00e9<a href=\"https:\/\/ml4data.com\/index.php\/2023\/08\/27\/perplejidad-para-medir-relevancia-de-textos-en-un-contexto-especifico\/\" rel=\"bookmark\" class=\"bm-read-more entry-read-more\">Read more<\/a>\t\t\t\t\t<\/div>\n\t\t\t\t\t<div class=\"bm-masonry-meta bm_meta\">\n\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"bm-masonry-item bm_content_box\">\n\t\t\t\t<div class=\"bm-post-image clearfix bm-hover-effect\">\n\t\t\t\t<img width=\"1536\" height=\"862\" src=\"https:\/\/ml4data.com\/wp-content\/uploads\/2023\/08\/perplex-1536x862.png\" class=\"attachment-1536x1536 size-1536x1536 wp-post-image\" alt=\"\" decoding=\"async\" loading=\"lazy\" srcset=\"https:\/\/ml4data.com\/wp-content\/uploads\/2023\/08\/perplex-1536x862.png 1536w, https:\/\/ml4data.com\/wp-content\/uploads\/2023\/08\/perplex-300x168.png 300w, https:\/\/ml4data.com\/wp-content\/uploads\/2023\/08\/perplex-1024x574.png 1024w, https:\/\/ml4data.com\/wp-content\/uploads\/2023\/08\/perplex-768x431.png 768w, https:\/\/ml4data.com\/wp-content\/uploads\/2023\/08\/perplex-2048x1149.png 2048w, https:\/\/ml4data.com\/wp-content\/uploads\/2023\/08\/perplex-600x337.png 600w\" sizes=\"(max-width: 1536px) 100vw, 1536px\" \/>\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<div class=\"bm-masonry-wrapper\">\n\t\t\t\t\t<div class=\"bm-masonry-title\">\n\t\t\t\t\t<h4 class=\"bm_title\"><a href=\"https:\/\/ml4data.com\/index.php\/2023\/08\/23\/perplexity-assessing-the-relevance-of-a-text-within-a-context\/\" rel=\"bookmark\">Perplexity: assessing the relevance of a text within a context<\/a><\/h4>\t\t\t\t\t<\/div>\n\t\t\t\t\t<div class=\"bm-masonry-desc bm_content\">\n\t\t\t\t\tPerplexity is a statistical indicator that gauges the level of certainty a language model possesses in predicting text. This measurement essentially quantifies the model's degree<a href=\"https:\/\/ml4data.com\/index.php\/2023\/08\/23\/perplexity-assessing-the-relevance-of-a-text-within-a-context\/\" rel=\"bookmark\" class=\"bm-read-more entry-read-more\">Read more<\/a>\t\t\t\t\t<\/div>\n\t\t\t\t\t<div class=\"bm-masonry-meta bm_meta\">\n\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"bm-masonry-item bm_content_box\">\n\t\t\t\t<div class=\"bm-post-image clearfix bm-hover-effect\">\n\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/ml4data.com\/wp-content\/plugins\/blogmentor\/assets\/images\/placeholder.jpg\" alt=\"Cherry plant\" title=\"Cherry plant\">\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<div class=\"bm-masonry-wrapper\">\n\t\t\t\t\t<div class=\"bm-masonry-title\">\n\t\t\t\t\t<h4 class=\"bm_title\"><a href=\"https:\/\/ml4data.com\/index.php\/2023\/04\/04\/pandas-vs-polars\/\" rel=\"bookmark\">Pandas vs Polars<\/a><\/h4>\t\t\t\t\t<\/div>\n\t\t\t\t\t<div class=\"bm-masonry-desc bm_content\">\n\t\t\t\t\t__temp__ Pandas vs Polars&#182;In this notebook, we compare the performance of Pandas and Polars in handling data. Pandas is a popular data manipulation library for<a href=\"https:\/\/ml4data.com\/index.php\/2023\/04\/04\/pandas-vs-polars\/\" rel=\"bookmark\" class=\"bm-read-more entry-read-more\">Read more<\/a>\t\t\t\t\t<\/div>\n\t\t\t\t\t<div class=\"bm-masonry-meta bm_meta\">\n\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"bm-masonry-item bm_content_box\">\n\t\t\t\t<div class=\"bm-post-image clearfix bm-hover-effect\">\n\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/ml4data.com\/wp-content\/plugins\/blogmentor\/assets\/images\/placeholder.jpg\" alt=\"Cherry plant\" title=\"Cherry plant\">\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<div class=\"bm-masonry-wrapper\">\n\t\t\t\t\t<div class=\"bm-masonry-title\">\n\t\t\t\t\t<h4 class=\"bm_title\"><a href=\"https:\/\/ml4data.com\/index.php\/2023\/03\/21\/motion-chart-with-plotly\/\" rel=\"bookmark\">Motion Chart with Plotly<\/a><\/h4>\t\t\t\t\t<\/div>\n\t\t\t\t\t<div class=\"bm-masonry-desc bm_content\">\n\t\t\t\t\tMotion Chart with Plotly This is a concise script for creating a motion chart using Python and Plotly Express. The script loads the 'gapminder' dataset,<a href=\"https:\/\/ml4data.com\/index.php\/2023\/03\/21\/motion-chart-with-plotly\/\" rel=\"bookmark\" class=\"bm-read-more entry-read-more\">Read more<\/a>\t\t\t\t\t<\/div>\n\t\t\t\t\t<div class=\"bm-masonry-meta bm_meta\">\n\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"bm-masonry-item bm_content_box\">\n\t\t\t\t<div class=\"bm-post-image clearfix bm-hover-effect\">\n\t\t\t\t<img width=\"682\" height=\"352\" src=\"https:\/\/ml4data.com\/wp-content\/uploads\/2023\/03\/ner_logo.png\" class=\"attachment-1536x1536 size-1536x1536 wp-post-image\" alt=\"\" decoding=\"async\" loading=\"lazy\" srcset=\"https:\/\/ml4data.com\/wp-content\/uploads\/2023\/03\/ner_logo.png 682w, https:\/\/ml4data.com\/wp-content\/uploads\/2023\/03\/ner_logo-300x155.png 300w, https:\/\/ml4data.com\/wp-content\/uploads\/2023\/03\/ner_logo-600x310.png 600w\" sizes=\"(max-width: 682px) 100vw, 682px\" \/>\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<div class=\"bm-masonry-wrapper\">\n\t\t\t\t\t<div class=\"bm-masonry-title\">\n\t\t\t\t\t<h4 class=\"bm_title\"><a href=\"https:\/\/ml4data.com\/index.php\/2023\/03\/13\/performing-ner-with-pre-trained-models\/\" rel=\"bookmark\">Performing NER with Pre-Trained Models<\/a><\/h4>\t\t\t\t\t<\/div>\n\t\t\t\t\t<div class=\"bm-masonry-desc bm_content\">\n\t\t\t\t\tNER-Copy1 Get started with NER models&#182;Named Entity Recognition (NER) is a vital task in NLP that involves identifying and extracting named entities from text. It<a href=\"https:\/\/ml4data.com\/index.php\/2023\/03\/13\/performing-ner-with-pre-trained-models\/\" rel=\"bookmark\" class=\"bm-read-more entry-read-more\">Read more<\/a>\t\t\t\t\t<\/div>\n\t\t\t\t\t<div class=\"bm-masonry-meta bm_meta\">\n\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"bm-masonry-item bm_content_box\">\n\t\t\t\t<div class=\"bm-post-image clearfix bm-hover-effect\">\n\t\t\t\t<img width=\"1536\" height=\"432\" src=\"https:\/\/ml4data.com\/wp-content\/uploads\/2023\/03\/optuna-1536x432.png\" class=\"attachment-1536x1536 size-1536x1536 wp-post-image\" alt=\"\" decoding=\"async\" loading=\"lazy\" srcset=\"https:\/\/ml4data.com\/wp-content\/uploads\/2023\/03\/optuna-1536x432.png 1536w, https:\/\/ml4data.com\/wp-content\/uploads\/2023\/03\/optuna-300x84.png 300w, https:\/\/ml4data.com\/wp-content\/uploads\/2023\/03\/optuna-1024x288.png 1024w, https:\/\/ml4data.com\/wp-content\/uploads\/2023\/03\/optuna-768x216.png 768w, https:\/\/ml4data.com\/wp-content\/uploads\/2023\/03\/optuna-2048x576.png 2048w, https:\/\/ml4data.com\/wp-content\/uploads\/2023\/03\/optuna-600x169.png 600w\" sizes=\"(max-width: 1536px) 100vw, 1536px\" \/>\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<div class=\"bm-masonry-wrapper\">\n\t\t\t\t\t<div class=\"bm-masonry-title\">\n\t\t\t\t\t<h4 class=\"bm_title\"><a href=\"https:\/\/ml4data.com\/index.php\/2023\/03\/10\/optimization-using-optuna\/\" rel=\"bookmark\">Optimization using Optuna<\/a><\/h4>\t\t\t\t\t<\/div>\n\t\t\t\t\t<div class=\"bm-masonry-desc bm_content\">\n\t\t\t\t\toptuna Optimization using Optuna&#182;The following article presents an example of how to find the best hyperparameters to train a random forest using the optuna library.<a href=\"https:\/\/ml4data.com\/index.php\/2023\/03\/10\/optimization-using-optuna\/\" rel=\"bookmark\" class=\"bm-read-more entry-read-more\">Read more<\/a>\t\t\t\t\t<\/div>\n\t\t\t\t\t<div class=\"bm-masonry-meta bm_meta\">\n\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t<\/div>\n<\/div>\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=\"ob-is-breaking-bad elementor-section elementor-top-section elementor-element elementor-element-0b5a630 elementor-section-full_width elementor-section-height-default elementor-section-height-default\" data-id=\"0b5a630\" data-element_type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;_ob_bbad_use_it&quot;:&quot;yes&quot;,&quot;_ob_bbad_sssic_use&quot;:&quot;no&quot;,&quot;_ob_glider_is_slider&quot;:&quot;no&quot;}\">\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-e232623\" data-id=\"e232623\" data-element_type=\"column\" data-settings=\"{&quot;_ob_bbad_is_stalker&quot;:&quot;no&quot;,&quot;_ob_teleporter_use&quot;:false,&quot;_ob_column_hoveranimator&quot;:&quot;no&quot;,&quot;_ob_column_has_pseudo&quot;:&quot;no&quot;}\">\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-b2cdc2b ob-harakiri-inherit ob-has-background-overlay elementor-widget elementor-widget-heading\" data-id=\"b2cdc2b\" data-element_type=\"widget\" data-settings=\"{&quot;_ob_use_harakiri&quot;:&quot;yes&quot;,&quot;_ob_harakiri_writing_mode&quot;:&quot;inherit&quot;,&quot;_ob_harakiri_text_clip&quot;:&quot;none&quot;,&quot;_ob_perspektive_use&quot;:&quot;no&quot;,&quot;_ob_poopart_use&quot;:&quot;yes&quot;,&quot;_ob_shadough_use&quot;:&quot;no&quot;,&quot;_ob_allow_hoveranimator&quot;:&quot;no&quot;,&quot;_ob_widget_stalker_use&quot;:&quot;no&quot;}\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Contact us for more information<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-077d1f9 ob-harakiri-inherit ob-has-background-overlay elementor-widget elementor-widget-text-editor\" data-id=\"077d1f9\" data-element_type=\"widget\" data-settings=\"{&quot;_ob_use_harakiri&quot;:&quot;yes&quot;,&quot;_ob_harakiri_writing_mode&quot;:&quot;inherit&quot;,&quot;_ob_postman_use&quot;:&quot;no&quot;,&quot;_ob_perspektive_use&quot;:&quot;no&quot;,&quot;_ob_poopart_use&quot;:&quot;yes&quot;,&quot;_ob_shadough_use&quot;:&quot;no&quot;,&quot;_ob_allow_hoveranimator&quot;:&quot;no&quot;,&quot;_ob_widget_stalker_use&quot;:&quot;no&quot;}\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! 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It can identify patterns and relationships in data that would be difficult toRead more [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"elementor_header_footer","meta":{"_mi_skip_tracking":false,"two_page_speed":{"previous_score":{"desktop_score":85,"desktop_tti":"0.7\u00a0","mobile_score":64,"mobile_tti":"7.1\u00a0","date":"26.03.2023 07:32:49 pm","status":"completed"},"current_score":{"desktop_score":99,"desktop_tti":"0.6\u00a0","mobile_score":70,"mobile_tti":"4.0\u00a0","date":"26.03.2023 07:37:38 pm","status":"notstarted"}}},"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/ml4data.com\/index.php\/wp-json\/wp\/v2\/pages\/482"}],"collection":[{"href":"https:\/\/ml4data.com\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/ml4data.com\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/ml4data.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/ml4data.com\/index.php\/wp-json\/wp\/v2\/comments?post=482"}],"version-history":[{"count":137,"href":"https:\/\/ml4data.com\/index.php\/wp-json\/wp\/v2\/pages\/482\/revisions"}],"predecessor-version":[{"id":1864,"href":"https:\/\/ml4data.com\/index.php\/wp-json\/wp\/v2\/pages\/482\/revisions\/1864"}],"wp:attachment":[{"href":"https:\/\/ml4data.com\/index.php\/wp-json\/wp\/v2\/media?parent=482"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}