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Tag · 4 entries

#machine learning

September 4, 2026 Machine Learning Primer

Machine Learning Primer: Generative Models

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

 September 4, 2026 Machine Learning Primer

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.

 September 4, 2026 Machine Learning Primer

Machine Learning Primer: Neural Network Basics

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

 September 4, 2026 Machine Learning Primer

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.