Writing
Contextual Bandits as Supervised Learning
This posts explains contextual bandits as a generalization of supervised learning.
How to Understand Recommender Systems
The wide literature on recommender systems obscures their commonalities. This post highlights what makes them similar, offering a simplifying perspective.
Evaluating Recommender Systems
A few things worth considering when evaluating a recommender system.
Randomized Numerical Linear Algebra
Some follow up questions from my video on Randomized Numerical Linear Algebra
A View into Government Cybersecurity
I attended the Rocky Mountain Cyberspace Symposium to understand government and industry efforts to bolster the nation's cybersecurity.
Reinforcement Learning at Lyft
A few comments on the Reinforcement Learning work done by my colleagues at Lyft
When does the Delta Method approximation work?
I explore when the Delta Method approximation works and fails.
Good Data Science is Mostly Dispatch
Most of what explains a job well done is the choice of tool.
Summaries
This briefly summarizes each part of the series on Probabilistic Graphical Models.
Notation Guide
Notation can be confusing. This post is to address it directly.