Statistical Machine Learning is used to discover patterns and relationships in large data sets. Topics will include: data exploration, classification and regression trees, random forests, clustering and association rules. Building predictive models focusing on model selection, model comparison and performance evaluation. Emphasis will be on concepts, methods and data analysis; and students are expected to complete a significant class project, individual or team based, using real world data.

Prerequisites: PSTAT 120A-B; and PSTAT 126 with a minimum grade of C or better.

4

Units

Optional

Grading

1, 2, 3

Passtime

Graduate students only

Level Limit

Letters and science

College
Unlocks PSTAT 235 PSTAT 234 PSTAT 134 PSTAT 135
COBURN K M
Katie Coburn
3.1
62 reviews
PHELP1525
W
12:00 PM - 12:50 PM
0 / 5

PHELP1525
W
13:00 PM - 13:50 PM
0 / 5

PHELP1525
W
14:00 PM - 14:50 PM
0 / 5

PHELP1525
W
15:00 PM - 15:50 PM
0 / 5

PHELP1525
W
16:00 PM - 16:50 PM
0 / 5

See All
Spring 2024 . Coburn K M
NH 1006
T R
15:30 PM - 16:45 PM
Spring 2025 . Coburn K M
NH 1006
T R
12:30 PM - 13:45 PM
See All
PSTAT 231 Coburn K M Spring 2025 Total: 20
PSTAT 231 Coburn K M Spring 2024 Total: 29
See All
62
3.1
PSTAT120a . Coburn K M 25 Days Ago

Dr. Coburn was great in lectures, and made the concepts seem simple to understand, but the ease of homework, examples and quiz questions left me improperly prepared for the midterm and final question styles. Very accesible, and office hours are helpful. Weekly homework and quizzes, a midterm and a final exam.

0 helpful 0 unhelpful
PSTAT120a . Coburn K M 29 Days Ago

The professor is calm and cool. The exams are a bit hard and I would recommend studying with lots of practice problems weeks before exams. I found that the practice exams were not as helpful as the lecture examples.

0 helpful 0 unhelpful
PSTAT120a . Coburn K M A Month Ago

honestly 120A was fine if you studied and showed up to class. it was hard but idk who expects it to be easy

0 helpful 0 unhelpful
PSTAT120a . Coburn K M A Month Ago

All my friends said that he was the easy professor for 120A, but his practice tests were NOTHING like the actual exams. Lectures were boring and not useful. Fully made me lose the passion that I had for statistics. Ended up taking this class P/NP and dropped my stats minor. None of the content is interesting or applicable to the real world.

0 helpful 0 unhelpful
PSTAT120a . Coburn K M A Month Ago

Test materials are different from lectures. He said he would not test the materials he had taught in the last several minutes, yet he still gave one.

0 helpful 0 unhelpful
PSTAT120a . Coburn K M A Month Ago

Studied hours a week and still nearly failed. The student's effort doesn't pay off because the tests were not taught properly in the lectures either.

0 helpful 0 unhelpful
See all 62 reviews
See All
PSTAT 231
0 / 25 Enrolled
Introduction to Statistical Machine Learning
Katie Coburn 3.1
T R
17:00 PM - 18:15 PM
PSTAT 213C
0 / 30 Enrolled
Introduction To Probability Theory And Stochastic Processes
Feldman R
T
14:00 PM - 15:50 PM
PSTAT 220C
0 / 40 Enrolled
Advanced Statistical Methods
Mengyang Michael Gu 3.9
M W
09:30 AM - 10:45 AM
PSTAT 222C
0 / 10 Enrolled
Advanced Stochastic Processes
Alexander Shkolnik 3.7
M W
14:00 PM - 15:15 PM
PSTAT 223C
0 / 5 Enrolled
ADVANCED TOPICS IN FINANCIAL MODELING
Alexander Shkolnik 3.7
M W
14:00 PM - 15:15 PM
PSTAT 230
0 / 25 Enrolled
Seminar and Projects in Statistical Consulting
Yuedong Wang 3.4
M W
17:00 PM - 18:15 PM
PSTAT 232
0 / 30 Enrolled
Computational Techniques in Statistics
Guo Yu 2.8
T R
12:30 PM - 13:45 PM