<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Koning, Mark on Wijnand Baretta</title><link>https://wijnandbaretta.com/authors/koning-mark/</link><description>Recent content in Koning, Mark on Wijnand Baretta</description><image><title>Wijnand Baretta</title><url>https://wijnandbaretta.com/images/og-default.png</url><link>https://wijnandbaretta.com/images/og-default.png</link></image><generator>Hugo -- 0.152.2</generator><language>en</language><lastBuildDate>Sat, 25 Mar 2017 00:00:00 +0000</lastBuildDate><atom:link href="https://wijnandbaretta.com/authors/koning-mark/index.xml" rel="self" type="application/rss+xml"/><item><title>Decision Trees and Random Forests: A Visual Introduction For Beginners: A Simple Guide to Machine Learning with Decision Trees</title><link>https://wijnandbaretta.com/books/decision-trees-and-random-forests-a-visual-introduction-for-beginners-a-simple-guide-to-machine-learning-with-decision-trees/</link><pubDate>Sat, 25 Mar 2017 00:00:00 +0000</pubDate><guid>https://wijnandbaretta.com/books/decision-trees-and-random-forests-a-visual-introduction-for-beginners-a-simple-guide-to-machine-learning-with-decision-trees/</guid><description>&lt;h1 id="decision-trees-and-random-forests-a-visual-introduction-for-beginners"&gt;Decision Trees and Random Forests: A Visual Introduction For Beginners&lt;/h1&gt;
&lt;h3 id="summary"&gt;Summary:&lt;/h3&gt;
&lt;p&gt;&amp;ldquo;Decision Trees and Random Forests: A Visual Introduction For Beginners&amp;rdquo; by Chris Smith and Mark Koning is designed as an accessible guide to understanding machine learning, particularly focused on decision trees and random forests. The book walks readers through fundamental concepts of these algorithms, demystifying the process with visual aids and simple explanations. It provides practical insights into how decision trees are structured, how random forests improve upon them, and how these techniques can be applied to solve real-world problems in data science.&lt;/p&gt;</description></item></channel></rss>