Lectures related to Medical classification

Explores transformers and MLPs for document classification, emphasizing their benefits over traditional methods.

Explores the likelihood of data under a model and the concept of maximum likelihood.

Introduces document classification using features like words and metadata, and models such as k-Nearest-Neighbors and word embeddings.