Bias-Variance Trade-off
Reducing the error in a machine learning model is a balancing act between reducing bias and variance.
Machine Learning Fundamentals██╗ ██╗███████╗██╗ ██╗ ██████╗ ██║ ██║██╔════╝██║ ██║ ██╔═══██╗ ███████║█████╗ ██║ ██║ ██║ ██║ ██╔══██║██╔══╝ ██║ ██║ ██║ ██║ ██║ ██║███████╗███████╗███████╗╚██████╔╝ ╚═╝ ╚═╝╚══════╝╚══════╝╚══════╝ ╚═════╝
❯ cat about.txt
Welcome to my blog. I'm a software engineer interested in data & ML systems. I write mainly as a mental exercise, on mostly technology related topics. I'd like to use this blog as a time capsule of my thoughts, as well as my notes. No LLMs are used in my writing, for better or worse.
❯ ls projects/
newsgist - News aggregation app that summarizes Canadian news.
travel planner - Minimal travel planning app with a map.
dfkit - CLI tool to quickly inspect data, run SQL queries, and more
Reducing the error in a machine learning model is a balancing act between reducing bias and variance.
Machine Learning FundamentalsMaximum likelihood estimation and a little probability review.
Machine Learning FundamentalsLocal versus global optimums and a deep dive into gradient descent.
Machine Learning Fundamentals