Tag: machine-learning

Posts

• Evaluating Probabilistic Predictions: Proper Scoring Rules Oct 22, 2023 machine-learning 

  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.

• Implementing Self-Tuning Spectral Clustering Jan 10, 2020 machine-learning 

  An (attempt at) implementation of the self-tuning spectral clustering algorithm by Zelnik-Manor and Perona (2014).