<?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>Machine-Learing on RedDec</title><link>https://blog.reddec.net/tags/machine-learing/</link><description>Recent content in Machine-Learing on RedDec</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Fri, 25 Jan 2019 09:28:02 +0800</lastBuildDate><atom:link href="https://blog.reddec.net/tags/machine-learing/index.xml" rel="self" type="application/rss+xml"/><item><title>Machine Learning</title><link>https://blog.reddec.net/posts/machine-learning/</link><pubDate>Fri, 25 Jan 2019 09:28:02 +0800</pubDate><guid>https://blog.reddec.net/posts/machine-learning/</guid><description>&lt;p&gt;&lt;img loading="lazy" src="https://blog.reddec.net/img/stanford.jpg"&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks).&lt;/li&gt;
&lt;li&gt;Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning).&lt;/li&gt;
&lt;li&gt;Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI)&lt;/li&gt;
&lt;/ul&gt;</description></item></channel></rss>