ESP Biography


Major: Computer Science

College/Employer: Stanford

Year of Graduation: 2020

Picture of Reid Pryzant

Brief Biographical Sketch:

Hello! I'm a 1st year Computer Science PhD at Stanford. My focus is Machine Learning, Statistical Inference, and their applications.

Past Classes

  (Clicking a class title will bring you to the course's section of the corresponding course catalog)

M5495: Learning from Data: an Introduction to Linear Regression in Splash Spring 2017 (Apr. 22 - 23, 2017)
Why do high school students need to report their GPA and SAT scores? How do companies decide what your insurance premiums will be? Regression. Regression is the backbone of many fields: economics, machine learning, sociology, the list goes on and on. In this class, we'll start with the basics of linear regression and work all the way up to generalized logistic regression with linear algebra (time permitting). We'll cover topics like inference and confidence intervals, probability, and the bias/varience tradeoff along the way.