Lectures related to Machine Learning Basics: Supervised and Unsupervised Learning

K-means Algorithm Log in to Mediaspace to watch this video

Covers the K-means algorithm for clustering data samples into k classes without labels, aiming to minimize the loss function.

Model-Free Prediction in Reinforcement Learning: Key Methods Log in to Mediaspace to watch this video

Covers model-free prediction methods in reinforcement learning, focusing on Monte Carlo and Temporal Differences for estimating value functions without transition dynamics knowledge.

Discovering Composable Modules in Meta-learning Log in to Mediaspace to watch this video

Explores discovering composable modules in meta-learning, focusing on flexible machine learning frameworks and the role of inductive biases.