#machine learning

Machine Learning Primer September 4, 2026

Machine Learning Primer: Generative Models

Generative models represent data distributions and create conditional outputs. Learn likelihood, VAE, GAN, diffusion, evaluation, provenance, and safety.

Fundamentals · 4 min Machine Learning Primer September 4, 2026

Machine Learning Primer: Foundations — Designing Data, Loss, and Generalization

Machine learning is not just model selection: define the task, data split, loss, evaluation, and deployment change.

Fundamentals · 5 min Machine Learning Primer September 4, 2026

Machine Learning Primer: Neural Network Basics

Neural networks stack affine transforms and nonlinear activations, then reduce loss by backpropagation and gradient-based optimization.

Fundamentals · 5 min Machine Learning Primer September 4, 2026

Machine Learning Primer: Pose Estimation

Pose estimation infers human or object keypoints and 6D pose from images. This primer covers coordinates, losses, occlusion, evaluation, and safety.

Fundamentals · 4 min