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Things we've read and found interesting or helpful!

Reading List

Text

Cameron Witkowski
<ul>
<li style="text-align:left">Godel, Escher, Bach by Douglas Hofstadter</li>
<li style="text-align:left">Surfaces and Essences by Douglas Hofstadter</li>
<li style="text-align:left">Why Greatness Cannot be Planned by Kenneth Stanley</li>
<li style="text-align:left">Mind and Cosmos by Thomas Nagel</li>
<li style="text-align:left">The Language of Creation by Mathieu Pageau</li>
<li style="text-align:left">On Intelligence by Jeff Hawkins</li>
<li style="text-align:left">Design in Nature by Adrian Bejan</li>
<li style="text-align:left">The Demon in the Machine by Paul Davies</li>
<li style="text-align:left">Simulacra and Simulation by Jean Baudrillard</li>
<li style="text-align:left">Deep Learning by Aaron Courville, Ian Goodfellow, and Yoshua Bengio</li>
</ul>
Victor Gao:
<ul>
<li style="text-align:left">Life 3.0 by Max Tegmark</li>
<li style="text-align:left">Superintelligence by Nick Bostrom</li>
</ul>
Nithura Thevarajah
<ul>
<li style="text-align:left">How to Make Your Own Neural Network by Rashid Tariq</li>
<li style="text-align:left">Neural Networks by 3Blue1Brown (YouTube Playlist)</li>
<li style="text-align:left">Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow_ Concepts, Tools, and Techniques to Build Intelligent Systems by Aurélien Géron</li>
<li style="text-align:left">Grokking algorithms by Aditya Y. Bhargava</li>
</ul>