Studying and comparing few-shot example selection strategies for LLM-based text classification - from random sampling and KNN to k-medoids, DPP, and more.
Posts in Machine Learning
Fitting the Player Ranking Model: A Maximum Likelihood Approach
In the previous post, we built all the necessary mathematics to model player skills as normal distributions. Here we will use all the formulas to implement the optimization algorithm in Python and fit the model to the data (both synthetic and real).