Machine Learning: A Practical Introduction for Humanists and Social Scientists

Machine learning - especially deep learning - is opening new horizons for research in the humanities and social sciences. This course offers a practical introduction to deep learning for graduate students, without assuming calculus/linear algebra or prior experience with coding. By the end of the course, students are able to code a variety of models themselves, including language and image recognition models, and gain an appreciation for the uses of ML in the humanities/social sciences. The course thus aims to support graduate students' professional development and is correspondingly offered in partnership with GradFUTURES.