The purpose of this blog is for me to put down some thoughts and notes related to data science and machine learning. Most similar blogs out there try to abstract away the math in favor of “intuition,” which doesn’t really satisfy my intellectual curiosity. In these posts I intend to delve a bit deeper into the mathematical weeds.
I also hope to discuss some theory underlying interesting data science problems I run into in the wild, so ideally there is something here for everyone!
Many thanks are owed to Dr. Christopher Bishop and his exemplary text, Pattern Recognition and Machine Learning, which is the reference for many of these posts. You can obtain a free electronic copy at his page here.
About Me
M&T ‘17 grad at Penn in statistics and materials science, minors in math and computer science. Analytics and data science @ System1. R and Python. Responsibilities include:
- writing and deploying ML models in prod
- extracting and munging data
- building tools to automate business workflows
- managing reporting and data visualization
- answering questions and putting out fires with analytics and optimization