Computer Science H389 - Intro/Machine Learning colloq

This colloquium will dive deeper into issues related to the safety and fairness of machine learning algorithms. You will study examples of misbehaving machine learning systems, and machine learning algorithms designed to avoid these undesirable behaviors. The colloquium will culminate with your training a machine learning model that incorporates high-confidence safety and/or fairness guarantees.

Open to seniors and juniors in Commonwealth Honors College majoring in Computer Science or Informatics. DEPARTMENT CONSENT REQUIRED. NO OPTION FOR PASS/FAIL. STUDENTS MUST BE ENROLLED IN COMPSCI 389 (OR HAVE COMPLETED COMPSCI 389 WITH A GRADE OF B OR BETTER). REQUEST OVERRIDE VIA THE ON-LINE FORM: https://www.cics.umass.edu/overrides