2020 Fall STAT 154 001 LEC 001

2020 Fall

STAT 154 001 - LEC 001

Modern Statistical Prediction and Machine Learning

Gaston Sanchez Trujillo

Aug 26, 2020 - Dec 11, 2020
Tu, Th
11:00 am - 12:29 pm
Internet/Online
Class #:23668
Units: 4

Instruction Mode: Remote Instruction
Time Conflict Enrollment Allowed

Offered through Statistics

Current Enrollment

Total Open Seats: 18
Enrolled: 52
Waitlisted: 0
Capacity: 70
Waitlist Max: 28
No Reserved Seats

Hours & Workload

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

WED, DECEMBER 16TH
08:00 am - 11:00 am

Other classes by Gaston Sanchez Trujillo

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

Students can take final exam at any time in a 24-hour window on the scheduled exam day.

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.

Repeat Rules

Course is not repeatable for credit.

Reserved Seats

Current Enrollment

No Reserved Seats

Textbooks & Materials

See class syllabus or https://calstudentstore.berkeley.edu/textbooks for the most current information.

Textbook Lookup

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eTextbooks

Associated Sections