<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
  <channel>
    <title>Khush Shah, Blogs</title>
    <link>https://khush24shah.github.io/</link>
    <description>Notes on machine learning, mathematics and the tools around them. Each post began as a notebook.</description>
    <language>en-GB</language>
    <lastBuildDate>Sat, 31 Oct 2026 20:37:19 +0000</lastBuildDate>
    <atom:link href="https://khush24shah.github.io/blogs.xml" rel="self" type="application/rss+xml"/>
    <item>
      <title>FinRL Installation</title>
      <link>https://khush24shah.github.io/blogs/FInRLInstallation.html</link>
      <guid isPermaLink="true">https://khush24shah.github.io/blogs/FInRLInstallation.html</guid>
      <pubDate>Sun, 16 Feb 2025 00:00:00 +0000</pubDate>
      <description>FinRL is a library that provides a unified framework for training, evaluating, and deploying deep reinforcement learning models (DRL) for finance. It is built...</description>
      <category>Setup</category>
      <category>Installation</category>
      <category>Reinforcement Learning</category>
    </item>
    <item>
      <title>Central Limit Theorem</title>
      <link>https://khush24shah.github.io/blogs/CentralLimitTheorem.html</link>
      <guid isPermaLink="true">https://khush24shah.github.io/blogs/CentralLimitTheorem.html</guid>
      <pubDate>Fri, 15 Sep 2023 00:00:00 +0000</pubDate>
      <description>According to the central limit theorem, the sample average has approximately Normal distribution for large sample sizes. The following exercise is to...</description>
      <category>Applied Statistics</category>
      <category>Statistics</category>
      <category>Data Analysis</category>
      <category>Python</category>
    </item>
    <item>
      <title>Numerical Hygiene</title>
      <link>https://khush24shah.github.io/blogs/numericalHygiene.html</link>
      <guid isPermaLink="true">https://khush24shah.github.io/blogs/numericalHygiene.html</guid>
      <pubDate>Sun, 09 Jul 2023 00:00:00 +0000</pubDate>
      <description>Numerical expressions are vastly used in the field of data science. They are used to perform mathematical operations on data. However sometimes, the results of...</description>
      <category>Mathematics</category>
      <category>Python</category>
    </item>
    <item>
      <title>Types of Losses and Optimisation</title>
      <link>https://khush24shah.github.io/blogs/MLLosses.html</link>
      <guid isPermaLink="true">https://khush24shah.github.io/blogs/MLLosses.html</guid>
      <pubDate>Mon, 03 Jul 2023 00:00:00 +0000</pubDate>
      <description>Loss or Objective Function is a measure of the model's performance. It is optimised during the training to improve model's performance.</description>
      <category>Machine Learning</category>
      <category>Optimisation</category>
    </item>
    <item>
      <title>Multiple Choice Functions</title>
      <link>https://khush24shah.github.io/blogs/multiFunction.html</link>
      <guid isPermaLink="true">https://khush24shah.github.io/blogs/multiFunction.html</guid>
      <pubDate>Mon, 12 Jun 2023 00:00:00 +0000</pubDate>
      <description>Multiple Choice Functions</description>
    </item>
    <item>
      <title>KL-Divergence</title>
      <link>https://khush24shah.github.io/blogs/klDivergence.html</link>
      <guid isPermaLink="true">https://khush24shah.github.io/blogs/klDivergence.html</guid>
      <pubDate>Fri, 02 Jun 2023 00:00:00 +0000</pubDate>
      <description>In this blog we want to discuss about the &amp;quot;KL-Divergence&amp;quot;. But first, we need to understand what is &amp;quot;distance&amp;quot;.</description>
      <category>Approximation</category>
      <category>Optimisation</category>
      <category>Mathematics</category>
      <category>Statistics</category>
    </item>
    <item>
      <title>Active Learning Classification</title>
      <link>https://khush24shah.github.io/blogs/activeLearning.html</link>
      <guid isPermaLink="true">https://khush24shah.github.io/blogs/activeLearning.html</guid>
      <pubDate>Mon, 08 May 2023 00:00:00 +0000</pubDate>
      <description>Active learning is a machine learning technique that involves iteratively selecting the most informative samples from a large unlabeled dataset and adding them...</description>
    </item>
    <item>
      <title>Neural Networks Implementation</title>
      <link>https://khush24shah.github.io/blogs/nnImplement.html</link>
      <guid isPermaLink="true">https://khush24shah.github.io/blogs/nnImplement.html</guid>
      <pubDate>Mon, 01 May 2023 00:00:00 +0000</pubDate>
      <description>First we import the necessary libraries</description>
    </item>
    <item>
      <title>Command Line Utilities in Linux</title>
      <link>https://khush24shah.github.io/blogs/linuxCommand.html</link>
      <guid isPermaLink="true">https://khush24shah.github.io/blogs/linuxCommand.html</guid>
      <pubDate>Wed, 26 Apr 2023 00:00:00 +0000</pubDate>
      <description>LS: This command is used for listing contents inside a directory</description>
    </item>
    <item>
      <title>Setting Up Development Environment</title>
      <link>https://khush24shah.github.io/blogs/devEnvSetting.html</link>
      <guid isPermaLink="true">https://khush24shah.github.io/blogs/devEnvSetting.html</guid>
      <pubDate>Tue, 25 Apr 2023 00:00:00 +0000</pubDate>
      <description>Setting Up Development Environment</description>
      <category>Setup</category>
    </item>
  </channel>
</rss>
