
  <rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
    <channel>
      <title>Blog | Mohit Appari</title>
      <link>https://moh1tt.vercel.app/blog</link>
      <description>Data Scientist building statistical models, data pipelines, and analytics systems.</description>
      <language>en-us</language>
      <managingEditor>mohitt.appari@gmail.com (Mohit Appari)</managingEditor>
      <webMaster>mohitt.appari@gmail.com (Mohit Appari)</webMaster>
      <lastBuildDate>Thu, 01 Jan 1970 00:00:00 GMT</lastBuildDate>
      <atom:link href="https://moh1tt.vercel.app/tags/deep-learning/feed.xml" rel="self" type="application/rss+xml"/>
      
  <item>
    <guid>https://moh1tt.vercel.app/blog/resources</guid>
    <title>Resources for Quant, Deep Learning &amp; Large-Scale Data — A Living List</title>
    <link>https://moh1tt.vercel.app/blog/resources</link>
    <description>A running collection of the books, courses, hands-on practice, and tools I actually use for quantitative finance, deep learning, and working with large datasets. I keep adding to this as I find things worth sharing.</description>
    <pubDate>Thu, 01 Jan 1970 00:00:00 GMT</pubDate>
    <author>mohitt.appari@gmail.com (Mohit Appari)</author>
    <category>Resources</category><category>Deep-Learning</category><category>Finance</category><category>Time-Series</category>
  </item>

  <item>
    <guid>https://moh1tt.vercel.app/blog/micrograd</guid>
    <title>Micrograd, Line by Line — How Andrej Karpathy&#39;s Tiny Autograd Engine Explains Neural Nets</title>
    <link>https://moh1tt.vercel.app/blog/micrograd</link>
    <description>Notes on Andrej Karpathy&#39;s micrograd — a ~150-line autograd engine that builds backpropagation, gradient descent, and a full neural net (Value, Neuron, Layer, MLP) from first principles. Still the best free, intuitive explanation of how neural nets actually learn.</description>
    <pubDate>Sun, 23 Aug 2026 00:00:00 GMT</pubDate>
    <author>mohitt.appari@gmail.com (Mohit Appari)</author>
    <category>Deep-Learning</category><category>Neural-Networks</category><category>Autograd</category><category>Python</category>
  </item>

    </channel>
  </rss>
