{"version":"1.0","provider_name":"Trainocate AI Empowered","provider_url":"https:\/\/marketing.trainocate.com\/empowered","title":"Building an Effective ML Pipeline - Trainocate AI Empowered","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"pAxRv92DuV\"><a href=\"https:\/\/marketing.trainocate.com\/empowered\/video\/building-an-effective-ml-pipeline\/\">Building an Effective ML Pipeline<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/marketing.trainocate.com\/empowered\/video\/building-an-effective-ml-pipeline\/embed\/#?secret=pAxRv92DuV\" width=\"600\" height=\"338\" title=\"&#8220;Building an Effective ML Pipeline&#8221; &#8212; Trainocate AI Empowered\" data-secret=\"pAxRv92DuV\" 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:\/\/marketing.trainocate.com\/empowered\/wp-includes\/js\/wp-embed.min.js\n<\/script>\n","description":"This video provides an overview of building machine learning pipelines using AutoML, focusing on key components such as data preparation, model development, and model serving. It outlines the importance of high-quality data and iterative training processes for effective model performance. The video uses a cooking analogy to illustrate the steps involved in creating and serving [&hellip;]","thumbnail_url":"https:\/\/marketing.trainocate.com\/empowered\/wp-content\/uploads\/sites\/2\/2026\/02\/Empowered_Webbanner-1.jpg","thumbnail_width":800,"thumbnail_height":270}