Machine Learning: Deep Learning

Johns Hopkins · EN.601.482 · Spring 2025

An introduction to machine learning and deep learning: supervised, unsupervised and reinforcement learning, linear models, loss functions and maximum likelihood estimation, and building neural networks in PyTorch.