<?xml version="1.0" encoding="utf-8"?><feed xmlns="http://www.w3.org/2005/Atom" ><generator uri="https://jekyllrb.com/" version="3.10.0">Jekyll</generator><link href="http://micahcarroll.github.io/feed.xml" rel="self" type="application/atom+xml" /><link href="http://micahcarroll.github.io/" rel="alternate" type="text/html" /><updated>2025-03-23T08:07:46+00:00</updated><id>http://micahcarroll.github.io/feed.xml</id><title type="html">Micah Carroll</title><subtitle></subtitle><entry><title type="html">Machine Learning and Convex Optimization Class Notes</title><link href="http://micahcarroll.github.io/learning/2018/07/18/class-notes.html" rel="alternate" type="text/html" title="Machine Learning and Convex Optimization Class Notes" /><published>2018-07-18T02:10:31+00:00</published><updated>2018-07-18T02:10:31+00:00</updated><id>http://micahcarroll.github.io/learning/2018/07/18/class-notes</id><content type="html" xml:base="http://micahcarroll.github.io/learning/2018/07/18/class-notes.html"><![CDATA[<p>Some review notes that I found useful in making connections between ideas in a couple of college classes:</p>

<ul>
  <li><a href="/assets/CS189FinalMap.pdf">CS 189</a> (Spring 2018, Prof. Sahai)</li>
  <li><a href="/assets/EE127FinalMap.pdf">EE 127</a> (Spring 2018, Prof. El Ghaoui)</li>
</ul>]]></content><author><name></name></author><category term="Learning" /><summary type="html"><![CDATA[Some review notes that I found useful in making connections between ideas in a couple of college classes:]]></summary></entry><entry><title type="html">Summer 2018 - CS 188 Discussion Section</title><link href="http://micahcarroll.github.io/teaching/2018/07/12/CS188.html" rel="alternate" type="text/html" title="Summer 2018 - CS 188 Discussion Section" /><published>2018-07-12T02:42:31+00:00</published><updated>2018-07-12T02:42:31+00:00</updated><id>http://micahcarroll.github.io/teaching/2018/07/12/CS188</id><content type="html" xml:base="http://micahcarroll.github.io/teaching/2018/07/12/CS188.html"><![CDATA[<p>Please fill out this <a href="https://goo.gl/Apzio2">anonymous feedback form</a>, anytime during the semester (even multiple times).</p>

<h2 id="section-notes">Section Notes</h2>

<p>If you find any typos or have additional questions, don’t hesitate to reach out at mdc@berkeley.edu.</p>

<table>
  <thead>
    <tr>
      <th>Date</th>
      <th>Topic</th>
      <th>Notes</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <td>July 2</td>
      <td>Policy Iteration + Reinforcement Learning</td>
      <td><a href="https://drive.google.com/file/d/1S49omI0l8I9gYl2RVCkNLKiwUxKqMo2t/view">link</a> (unpolished)</td>
    </tr>
    <tr>
      <td>July 9</td>
      <td>Approximate Q Learning &amp; Probability</td>
      <td><a href="https://drive.google.com/file/d/16HSY-TBoKTsYb0FzOh2NzY9S_X8PYAOf/view">link</a></td>
    </tr>
    <tr>
      <td>July 11</td>
      <td>Conditional Independence and D-separation</td>
      <td><a href="https://drive.google.com/open?id=1klQyNd-KkbmS2-1-TvohPBs-8_w2DZLm">link</a></td>
    </tr>
    <tr>
      <td>July 18</td>
      <td>Variable Elimination and Sampling</td>
      <td><a href="/assets/188Notes/Discussion7Final.pdf">link</a></td>
    </tr>
    <tr>
      <td>July 23</td>
      <td>Decision Networks, VPI, and HHM</td>
      <td><a href="/assets/188Notes/Discussion8Final.pdf">link</a></td>
    </tr>
    <tr>
      <td>July 25</td>
      <td>Particle Filtering and Naive Bayes</td>
      <td><a href="/assets/188Notes/Discussion9Final.pdf">link</a></td>
    </tr>
    <tr>
      <td>July 30</td>
      <td>Perceptrons, MLE, and Neural Nets</td>
      <td><a href="/assets/188Notes/Discussion10Final.pdf">link</a></td>
    </tr>
  </tbody>
</table>]]></content><author><name></name></author><category term="Teaching" /><summary type="html"><![CDATA[Please fill out this anonymous feedback form, anytime during the semester (even multiple times).]]></summary></entry></feed>