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Posts
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How to graduate your PhD when you have no hope
a.k.a. Richard Hamming vs. Richard Feynman
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Evaluating Probabilistic Predictions: Proper Scoring Rules
Point predictions are often insufficient for machine learning tasks that involves uncertainty. As a solution, probabilistic models are becoming more widely used. This post talks about proper scoring rules, a framework to think about and evaluate probabilistic predictions.
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chicken soup for the cs phd student
Pieces of writings that I found helpful for thinking about research and surviving a PhD.
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Implementing Self-Tuning Spectral Clustering
An (attempt at) implementation of the self-tuning spectral clustering algorithm by Zelnik-Manor and Perona (2014).
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Bombay Beach Diaries
A photo journal of my time @ bombay beach, CA.