This repo contains materials from my NYU DS "Text as Data" course from spring 2021. You will also find a syllabus. The course is updated from the one I taught previously---in particular, there is now more content on deep learning representations, including word embeddings. I will leave my 2018 repo up for now, though.
The lectures are split into two types:
- "pre-recorded" content: these slides were the backdrop for my weekly (uploaded) videos that students watched before coming to class. These are "core" teaching, and don't require any audience input.
- "flipped" classroom sessions: these were taught interactively with the students, once a week. They include material recap, quizzes, questions, problems, technical extensions, discussion of applications etc.
If you need the underlying .tex files, images, animations etc and you are an educator, drop me a line: I will do my best to get those to you.
My excellent teaching assistant, Lucia Motolinia has teaching materials for each of her weekly labs here.