A builder of systems, a path to unveil
Tags
32 pages
Machine-Learning
Lessons from Developing a Machine Learning Feature Platform
Feature Stores with Willem Pienaar
Evolution of a Data Scientist with Adam Laiacano
Ten Years of Data Science with Josh Wills and Oscar Boykin
Naive Bayes Meme
Speeding up PyMC3 NUTS Sampler
Entropy of a Discrete Probability Distribution
Cross Entropy and KL Divergence
Sequential Minimal Optimization Algorithm for Support Vector Machines
Tweets I'm Proud Of (2)
Sample from Antoniak Distribution with Python
Collapsed Gibbs Sampling for Bayesian Mixture Models (with a Nonparametric Extension)
Nomenclature of Dirichlet Processes
Notes on Gibbs Sampling in Hierarchical Dirichlet Process Models
