{"version":"1.0","provider_name":"GLOBIS Unlimited","provider_url":"https:\/\/globisunlimited.com\/jp","author_name":"GLOBIS Unlimited","author_url":"https:\/\/globisunlimited.com\/jp","title":"Bayes\u2019 Theorem - GLOBIS Unlimited","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"NWdGxQltr0\"><a href=\"https:\/\/globisunlimited.com\/jp\/course\/bayes-theorem\/\">Bayes\u2019 Theorem<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/globisunlimited.com\/jp\/course\/bayes-theorem\/embed\/#?secret=NWdGxQltr0\" width=\"600\" height=\"338\" title=\"&#8220;Bayes\u2019 Theorem&#8221; &#8212; GLOBIS Unlimited\" data-secret=\"NWdGxQltr0\" 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:\/\/globisunlimited.com\/wp-includes\/js\/wp-embed.min.js\n<\/script>","thumbnail_url":"https:\/\/globisunlimited.com\/wp-content\/uploads\/2022\/12\/Globis.jpg","thumbnail_width":1910,"thumbnail_height":1000,"description":"Making decisions with limited information is a challenge we often face in business, but how do you make the right choice when your data is incomplete? In this course, you\u2019ll learn how Bayes\u2019 Theorem works and why it\u2019s a valuable tool for updating your beliefs as new evidence becomes available. You\u2019ll also explore how to apply the Theorem to a real-world business problem step by step. Finally, you\u2019ll learn how to adopt a Bayesian mindset to improve decision-making across your team or organization. Join us, and make more informed decisions today!"}