Jonathan Taylor

Jonathan Taylor is known for his work in Gaussian random fields, which culminated in a book “Random Fields and Geometry” with Robert Adler (Springer, 2000). More recently he and his students have made a series of fundamental contributions to post-selection inference. Jonathan Taylor is an early Python adopter, and has created a number of publicly available packages. He is the author of the ISLP package that accompanies the course textbook and is used in the labs in this course. He received a Ph.D in Statistics from McGill University in 2001.

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Statistical Learning with Python (edX)

Learn some of the main tools used in statistical modeling and data science. We cover both traditional as well as exciting new methods, and how to use them in Python.