Learning library

Classification

These lessons cover classification as it is used in robotics and machine learning. Each one pairs an explanation with an example you can change and an exercise you can check.

2 lessons, in library order. Search within classification.

  1. Foundations / 10 min read

    Logistic regression: turn a score into a probability

    Explore logistic regression with synthetic robot observations. Calculate sigmoid probabilities and log loss, then change a threshold and inspect the confusion matrix.

  2. Foundations / 11 min read

    Random forests: train different trees and combine their votes

    Build a small random forest from synthetic robot observations. Inspect learned splits, bootstrap samples, random feature choices, and individual tree votes.