{"version":"1.0","provider_name":"aisuperior","provider_url":"https:\/\/aisuperior.com\/es\/","title":"Machine Learning and Data Preparation for Underwriting - aisuperior","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"bXrz9VjewQ\"><a href=\"https:\/\/aisuperior.com\/es\/experts\/machine-learning-and-data-preparation-for-underwriting\/\">Aprendizaje autom\u00e1tico y preparaci\u00f3n de datos para suscripci\u00f3n<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/aisuperior.com\/es\/experts\/machine-learning-and-data-preparation-for-underwriting\/embed\/#?secret=bXrz9VjewQ\" width=\"600\" height=\"338\" title=\"\u00abAprendizaje autom\u00e1tico y preparaci\u00f3n de datos para suscripci\u00f3n\u00bb \u2014 aisuperior\" data-secret=\"bXrz9VjewQ\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script>\n\/*! This file is auto-generated *\/\n!function(d,l){\"use strict\";l.querySelector&&d.addEventListener&&\"undefined\"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!\/[^a-zA-Z0-9]\/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret=\"'+t.secret+'\"]'),o=l.querySelectorAll('blockquote[data-secret=\"'+t.secret+'\"]'),c=new RegExp(\"^https?:$\",\"i\"),i=0;i<o.length;i++)o[i].style.display=\"none\";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute(\"style\"),\"height\"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):\"link\"===t.message&&(r=new URL(s.getAttribute(\"src\")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(d.top.location.href=t.value))}},d.addEventListener(\"message\",d.wp.receiveEmbedMessage,!1),l.addEventListener(\"DOMContentLoaded\",function(){for(var e,t,s=l.querySelectorAll(\"iframe.wp-embedded-content\"),r=0;r<s.length;r++)(t=(e=s[r]).getAttribute(\"data-secret\"))||(t=Math.random().toString(36).substring(2,12),e.src+=\"#?secret=\"+t,e.setAttribute(\"data-secret\",t)),e.contentWindow.postMessage({message:\"ready\",secret:t},\"*\")},!1)))}(window,document);\n\/\/# sourceURL=https:\/\/aisuperior.com\/wp-includes\/js\/wp-embed.min.js\n<\/script>","thumbnail_url":"https:\/\/aisuperior.com\/wp-content\/uploads\/2023\/09\/aidata.jpeg","thumbnail_width":1024,"thumbnail_height":683,"description":"Practical experience and theoretical background allow us to properly represent various types of heterogeneous data into ready to use machine learning data sets. We perfect the art of feature engineering for time-series data, financial transactions, spatiotemporal information, behavioral patterns and many more. A high-quality risk scoring model is one of the key success factors in [&hellip;]"}