{"version":"1.0","provider_name":"Vereniging voor Epidemiologie","provider_url":"https:\/\/www.epidemiologie.nl\/en\/","title":"Machine Learning &amp; Applications in Medicine - Vereniging voor Epidemiologie","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"wQNEc22a1T\"><a href=\"https:\/\/www.epidemiologie.nl\/en\/cursus\/machine-learning-applications-in-medicine\/\">Machine Learning &amp; Applications in Medicine<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/www.epidemiologie.nl\/en\/cursus\/machine-learning-applications-in-medicine\/embed\/#?secret=wQNEc22a1T\" width=\"600\" height=\"338\" title=\"&#8220;Machine Learning &amp; Applications in Medicine&#8221; &#8212; Vereniging voor Epidemiologie\" data-secret=\"wQNEc22a1T\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script type=\"text\/javascript\">\n\/* <![CDATA[ *\/\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:\/\/www.epidemiologie.nl\/wp-includes\/js\/wp-embed.min.js\n\/* ]]> *\/\n<\/script>\n","description":"Learn the basics of machine learning, with a special focus on sparse data as they occur in high dimensional \u2018omics\u2019 types of data. At the end of the course, the student will be familiar with and has practical experience with the main methods of machine learning: o Nearest neighbors o Bayes classifiers and discriminant analyses [&hellip;]"}