Word Embeddings from Deep Space Nine using Machine Learning

This course on word embeddings using machine learning aims to teach learners how to represent words numerically for machine learning models. The course covers common strategies such as Bag of Words, Word2Vec, fastText, GloVe, and Bert, using scripts from Star Trek Deep Space Nine to illustrate the differences between these techniques. The teaching method includes a presentation exploring various word embedding techniques and their application in a production environment. This course is intended for individuals interested in natural language processing, machine learning, and data science.