1.0Diuna Grouphttps://diuna.biz/en/rich600338<blockquote class="wp-embedded-content" data-secret="7cFK3B6epm"><a href="https://diuna.biz/en/data-validation/">Data validation</a></blockquote><iframe sandbox="allow-scripts" security="restricted" src="https://diuna.biz/en/data-validation/embed/#?secret=7cFK3B6epm" width="600" height="338" title="“Data validation” — Diuna Group" data-secret="7cFK3B6epm" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"></iframe><script> /*! This file is auto-generated */ !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); //# sourceURL=https://diuna.biz/wp-includes/js/wp-embed.min.js </script> Data validation Data validation is the process of assessing the quality and accuracy of data used for artificial intelligence (AI) model training. The goal of data validation is to make sure that the data is suitable for use in the training process and to prevent model errors or prejudice. This process includes several steps. Division […]https://diuna.biz/wp-content/uploads/2024/01/10-1.png