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resources.html
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---
layout: page
title: Resources
weight: 0
---
<section class="main-container text">
<div class="main">
<h2 class="title">Course Textbook</h2>
<p>
The course notes can be found
<a href="{{ site.baseurl }}/static/cs181-textbook.pdf">here</a>.
Corrections or improvements are welcome
<a href="https://github.com/harvard-ml-courses/cs181-textbook/blob/master/Textbook.pdf" target="_blank">
in the corresponding GitHub repository
</a>.
</p>
<h2 class="title" id="previous">Previous years of CS 1810</h2>
<ul class="lists">
<li>
<a href="https://harvard-ml-courses.github.io/cs181-web-2024/" target="_blank"
rel="noopener noreferrer">2024</a> by Prof. Finale Doshi Velez & Prof. David Alvarez-Melis
</li>
<li>
<a href="https://harvard-ml-courses.github.io/cs181-web-2023/" target="_blank"
rel="noopener noreferrer">2023</a> by Prof. Weiwei Pan
</li>
<li>
<a href="https://harvard-ml-courses.github.io/cs181-web-2022/" target="_blank"
rel="noopener noreferrer">2022</a> by Prof. Finale Doshi Velez
</li>
<li>
<a href="https://harvard-ml-courses.github.io/cs181-web-2021/" target="_blank"
rel="noopener noreferrer">2021</a> by Prof. Finale Doshi Velez & Prof. David Parkes
</li>
<li>
<a href="https://harvard-ml-courses.github.io/cs181-web-2020/" target="_blank"
rel="noopener noreferrer">2020</a> by Prof. Finale Doshi-Velez
</li>
</ul>
<h2 class="title">Relevant Textbooks</h2>
<ul class="lists">
<li>
<a href="http://www.springer.com/us/book/9780387310732" target="_blank">Bishop 2006, Pattern Recognition
and Machine Learning</a>
</li>
<li>
<a target="_blank"
href="http://harvardcoopbooks.bncollege.com/webapp/wcs/stores/servlet/BNCB_TextbookDetailView?catalogId=10001&item=N&langId=-1&productId=600005699137&storeId=52084">
Murphy 2012, Machine Learning: A Probabilistic Perspective</a>
</li>
<li>
<a target="_blank" href="http://www2.imm.dtu.dk/pubdb/views/edoc_download.php/3274/pdf/imm3274.pdf">
Petersen and Pedersen 2012, The Matrix Cookbook</a>
<li>
<a target="_blank" href="https://www.cs.ubc.ca/~murphyk/Bayes/bnintro.html">
Murphy 1998, Bayesian Network Tutorial</a>
<li>
<a target="_blank" href="https://www.cs.ubc.ca/~murphyk/Bayes/rabiner.pdf">
Rabiner 1989, Tutorial on HMMs</a>
<li>
<a id="sb" target="_blank" href="http://incompleteideas.net/book/RLbook2020.pdf">
Sutton and Barto 2018, Reinforcement Learning: An Introduction</a>
<li>
<a id="sb" target="_blank" href="https://mml-book.github.io/">
Deisenroth, Faisal, and Ong 2020, Mathematics for Machine Learning</a>
</ul>
</div>
</section>