{"version":"1.0","provider_name":"LAB Focus","provider_url":"https:\/\/blogit.lab.fi\/labfocus","author_name":"hannasuu","author_url":"https:\/\/blogit.lab.fi\/labfocus\/author\/hannasuu\/","title":"Datan eheys teko\u00e4lyprojektissa - LAB Focus","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"TLFZ5GNReM\"><a href=\"https:\/\/blogit.lab.fi\/labfocus\/datan-eheys-tekoalyprojektissa\/\">Datan eheys teko\u00e4lyprojektissa<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/blogit.lab.fi\/labfocus\/datan-eheys-tekoalyprojektissa\/embed\/#?secret=TLFZ5GNReM\" width=\"600\" height=\"338\" title=\"&#8221;Datan eheys teko\u00e4lyprojektissa&#8221; &#8212; LAB Focus\" data-secret=\"TLFZ5GNReM\" 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:\/\/blogit.lab.fi\/labfocus\/wp-includes\/js\/wp-embed.min.js\n<\/script>\n","thumbnail_url":"https:\/\/blogit.lab.fi\/labfocus\/wp-content\/uploads\/sites\/8\/2023\/08\/406_2023_Datan-eheys-tekoalyprojektissa_kuva1.jpg","thumbnail_width":1280,"thumbnail_height":640,"description":"Ehe\u00e4ll\u00e4 datalla tarkoitetaan dataa, joka on tarkka, kokonainen ja johdonmukainen (Harward Business School Online, 2021). Datan eheys on kriittisess\u00e4 osassa teko\u00e4lyprojektin onnistumisen kanssa. Teko\u00e4lymallit vaativat suuren m\u00e4\u00e4r\u00e4n ehe\u00e4\u00e4 dataa oppiakseen siit\u00e4 merkityksellisi\u00e4 riippuvuuksia. Datan ker\u00e4ysmenetelm\u00e4t on oltava luotettavia ja niiden luotettavuus pit\u00e4\u00e4 pysty\u00e4 todentamaan. Teko\u00e4ly pit\u00e4\u00e4 sis\u00e4ll\u00e4\u00e4n koneoppimisen ja syv\u00e4oppimisen. Koneoppiminen pyrkii l\u00f6yt\u00e4m\u00e4\u00e4n datasta tilastollisen [&hellip;]"}