2022 Fall

STAT 154 001 - LEC 001

Modern Statistical Prediction and Machine Learning

James Bentley Brown

Aug 24, 2022 - Dec 09, 2022

Tu, Th

05:00 pm - 06:29 pm

Etcheverry 3106

Class #:22917

Units: 4

Instruction Mode: In-Person Instruction

Offered through Statistics

Current Enrollment

Total Open Seats: 22

Enrolled: 48

Waitlisted: 0

Capacity: 70

Waitlist Max: 24

No Reserved Seats

3 hours of instructor presentation of course materials per week, 7 hours of outside work hours per week, and 2 hours of instructional experiences requiring special laboratory equipment and facilities per week.

Final Exam

THU, DECEMBER 15TH

11:30 am - 02:30 pm

Evans 60

Other classes by James Bentley Brown

+ 1 Independent Study

STAT 299 036 036IND

Course Catalog Description

Theory and practice of statistical prediction. Contemporary methods as extensions of classical methods. Topics: optimal prediction rules, the curse of dimensionality, empirical risk, linear regression and classification, basis expansions, regularization, splines, the bootstrap, model selection, classification and regression trees, boosting, support vector machines. Computational efficiency versus predictive performance. Emphasis on experience with real data and assessing statistical assumptions.

Class Notes

The prerequisites for Stat 154 are enforced by the enrollment system. Students who believe they have met the prerequisites in other ways may submit a Stat 154 Enrollment Appeal Form to obtain approval from the instructor: https://forms.gle/HwHtARL9g2Cw4UJ96.

Rules & Requirements

Requisites

Mathematics 53 or equivalent; Mathematics 54, Electrical Engineering 16A, Statistics 89A, Mathematics 110 or equivalent linear algebra; Statistics 135 or equivalent; experience with some programming language. Recommended prerequisite: Mathematics 55 or equivalent exposure to counting arguments.