Lectures related to Single Proteins Maps: Sabrina Simoncelli

Related lectures (32)

Covers unsupervised learning, focusing on dimensionality reduction and clustering, explaining how it helps find patterns in data without labels.

Explains the assignment and update steps in K-means clustering, loss function minimization, and distance metric effects.