<?xml version="1.0" encoding="utf-8"?><feed xmlns="http://www.w3.org/2005/Atom" xml:lang="en"><generator uri="https://jekyllrb.com/" version="4.4.1">Jekyll</generator><link href="https://richik-p.github.io/feed.xml" rel="self" type="application/atom+xml"/><link href="https://richik-p.github.io/" rel="alternate" type="text/html" hreflang="en"/><updated>2026-05-26T20:05:30+00:00</updated><id>https://richik-p.github.io/feed.xml</id><title type="html">blank</title><subtitle>Welcome to Richik Pal&apos;s personal website. </subtitle><entry><title type="html">Resources for CS189: Machine Learning at UCB</title><link href="https://richik-p.github.io/blog/2025/cs189/" rel="alternate" type="text/html" title="Resources for CS189: Machine Learning at UCB"/><published>2025-01-18T15:53:00+00:00</published><updated>2025-01-18T15:53:00+00:00</updated><id>https://richik-p.github.io/blog/2025/cs189</id><content type="html" xml:base="https://richik-p.github.io/blog/2025/cs189/"><![CDATA[<h2 id="resources-for-cs189-machine-learning">Resources for CS189: Machine Learning</h2> <p>Here is a list of resources I used for CS189 at UC Berkeley. I took ths class in Fall 2024. I will be updating this list if I find new resources.</p> <ul> <li>Alex Li’s notes for CS189 are intuitive and well-organized. You can find them <a href="https://smartspot2.github.io/assets/pdf/CS189_Lecture_Notes.pdf">here</a></li> <li><a href="https://people.eecs.berkeley.edu/~jrs/papers/machlearn.pdf">Notes</a> from Jonathan Shewchuk’s iteration of the course</li> <li><a href="https://alvinwan.com/cs189/fa16/extras/kernelized-algorithms.pdf">Notes</a> on Kernel Algorithms</li> <li><a href="https://alvinwan.com/cs189/fa16/extras/boosting.pdf">Notes</a> on Boosting</li> </ul> <h4 id="miscellaneous">Miscellaneous</h4> <ul> <li>For why PCA works well with Gaussian data, the following <a href="https://datascience.stackexchange.com/questions/25789/why-does-pca-assume-gaussian-distribution">StackExchange</a> is insightful.</li> </ul>]]></content><author><name></name></author><category term="UC"/><category term="Berkeley"/><category term="machine-learning"/><summary type="html"><![CDATA[Resources and notes for CS189: Machine Learning]]></summary></entry><entry><title type="html">Just a moment…</title><link href="https://richik-p.github.io/blog/2021/just-a-moment/" rel="alternate" type="text/html" title="Just a moment…"/><published>2021-04-20T00:00:00+00:00</published><updated>2021-04-20T00:00:00+00:00</updated><id>https://richik-p.github.io/blog/2021/just-a-moment</id><content type="html" xml:base="https://richik-p.github.io/blog/2021/just-a-moment/"><![CDATA[]]></content><author><name></name></author><category term="external-posts"/><category term="trekking"/></entry></feed>