36-708 Statistical Machine Learning
Instructor: Larry Wasserman
Lecture Time: Tuesday and Thursday 1:30 - 2:50
Lecture Location: POS 152
Office Hour: Tuesdays 12:00 - 1:00 Baker Hall 132G
Office: Baker Hall 132G
SyllabusClick here for syllabus
Course DescriptionThis course is an advanced course focusing on the intsersection of Statistics and Machine Learning. The goal is to study modern methods and the underlying theory for those methods. There are two pre-requisites for this course:
36-705 (Intermediate Statistical Theory)
Lecture NotesReview Density Estimation
AssignmentsAssignments are due on Fridays at 3:00 p.m. Upload your assignment in Canvas.
No late assignments will be accepted. If you need an extension due to illness, email me BEFORE the deadline.
Homework 1 (due Friday Feb 1 3:00. Submit a pdf on Canvas)