Classic Machine Learning Through the Eyes of an SRE — Part 2 The second algorithm I studied broke...
Classic Machine Learning Through the Eyes of an SRE — Part 2
The second algorithm I studied broke everything I'd just learned from the first.
Logistic regression taught me that training means gradient descent: guess, measure error, adjust the weights, repeat until convergence. So when I opened decision trees, I went looking for the optimizer.
There wasn't one.
A decision tree isn't optimized the way I expected. It's grown.
Classic Machine Learning Through the Eyes of an SRE — Part 3 The random forest is the first ML...
1. The Problem It Solves Many real-world problems don't follow a straight-line...
Classic Machine Learning Through the Eyes of an SRE — Part 8 The most dangerous output in my whole...
Classic Machine Learning Through the Eyes of an SRE — Part 9: Isolation Forest The algorithm in one...
How Feature Engineering Taught Me That Better Data Often Beats Better Algorithms When I first...
I spent way too long building a tabular classifier from scratch. It doesn't beat XGBoost. I'm...
