Decision Tree
What decision trees are, how they make predictions through hierarchical rules, and their role as building blocks for ensemble methods.
Regression
K-Nearest Neighbors (KNN)
Instance-based lazy learning algorithm that classifies data points by majority vote of their nearest neighbors, using various distance …
Linear Regression
Foundational supervised learning algorithm for continuous prediction, including Ridge, Lasso, and ElasticNet regularization variants.
Random Forest
What random forests are, how they combine decision trees for robust predictions, and when they are the right model choice.
Snapshot Testing
What snapshot testing is, how it captures and compares output snapshots for regression detection, and its application in AI systems.
Snapshot Testing for AI Systems
Snapshot and golden file testing for AI: capturing expected outputs, managing updates, structural snapshots, semantic similarity assertions, …
Supervised Learning
What supervised learning is, how it works with labeled data, and when to choose it over other learning paradigms.