This development project will pose these deeper questions in a series of five, hour-long “fireside chats” between two researchers (one STEM, one AHSS) at IAS. Each event is directly preceded by a lunch meal in which all four get to know each other informally, along with a small number of invited PGRs/staff researchers. The subsequent talks themselves will be open to the wider University and Durham community.
These events on a biweekly basis during Epiphany Term 2022/2023. Each event will centre on one central concept in ML; provisionally, these topics are: bias, learning, error, optimisation, and sampling.