{"version":"1.0","provider_name":"DKS, tu centro de estudios especializado en internet","provider_url":"https:\/\/dks.digital\/mx\/","author_name":"DKS","author_url":"https:\/\/dks.digital\/mx\/blog\/author\/DKS\/","title":"\u00bfHasta d\u00f3nde se puede llegar en el Data Science sin estad\u00edstica? - DKS, tu centro de estudios especializado en internet","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"oLXlI6DQZp\"><a href=\"https:\/\/dks.digital\/mx\/blog\/data-science\/datascience_sin_estadistica_\/\">\u00bfHasta d\u00f3nde se puede llegar en el Data Science sin estad\u00edstica?<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/dks.digital\/mx\/blog\/data-science\/datascience_sin_estadistica_\/embed\/#?secret=oLXlI6DQZp\" width=\"600\" height=\"338\" title=\"&#8220;\u00bfHasta d\u00f3nde se puede llegar en el Data Science sin estad\u00edstica?&#8221; &#8212; DKS, tu centro de estudios especializado en internet\" data-secret=\"oLXlI6DQZp\" 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\/* ]]> *\/\n<\/script>\n","description":"The Signal and the Noise; Why So Many Predictions Fail but Some Don\u2019t es un influyente libro de Nate Silver, que alcanz\u00f3 la fama por sus predicciones de las elecciones presidenciales de EE.UU. Los datos no son otra cosa: una combinaci\u00f3n de se\u00f1al y de ruido, de categor\u00eda y de an\u00e9cdota, de grano y paja. [&hellip;]","thumbnail_url":"https:\/\/dks.digital\/wp-content\/uploads\/2016\/11\/MODULOS_PREVIOS_DATASCIENCE_17.jpg"}