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

None

Level Limit

Letters and science

College
Unlocks PSTAT 135 PSTAT 134 PSTAT 234
YU G H
Guo Yu
3.1
22 reviews

Lecture

BUCHN1930
T R
11:00 AM - 12:15 PM
20 / 20 Full

Sections

PHELP2514
M
10:00 AM - 10:50 AM
4 / 5
PHELP2514
M
11:00 AM - 11:50 AM
5 / 5 Full
GIRV 2116
M
12:00 PM - 12:50 PM
6 / 5 Full
ARTS 1353
M
13:00 PM - 13:50 PM
5 / 5 Full
Spring 2024 . Coburn K M
NH 1006
T R
15:30 PM - 16:45 PM
Fall 2024 . Baracaldo Lan
LSB 1001
T R
17:00 PM - 18:15 PM
See All
PSTAT 231 Yu G Fall 2022 Total: 5
PSTAT 231 Yu G Fall 2021 Total: 13
See All
22
3.1
PSTAT131 . Yu G H 26 Days Ago

I would not recommend this professor unless you have no other choice. The lectures were disorganized, and it felt like they were just reading off the slides without offering any deeper explanations. When students asked questions, the responses were often vague or dismissive, which made it hard to clarify important concepts.

0 helpful 0 unhelpful
PSTAT232 . Yu G H A Month Ago

Yu leaves much to be desired in their teaching approach. Classes often felt disorganized, with a lack of clear objectives or structured material. Key concepts were often rushed through or skipped entirely, making it challenging to understand the course content fully.

0 helpful 0 unhelpful
PSTAT232 . Yu G H 6 Months Ago

Best lecturer in pstat department.

0 helpful 0 unhelpful
PSTAT232 . Yu G H 9 Months Ago

I took this class as an undergrad. I found this class pretty interesting. The grading is 45% hw, 45% project, 10% lecture scribe. You're expected to use LaTeX in RMarkdown for homework and LaTeX for scribing (only one lecture per person.) The homework assignments are pretty challenging but you have plenty of time to do them cus they're only 3 of em

0 helpful 0 unhelpful
PSTAT232 . Yu G H 9 Months Ago

Class is easy for a graduate course, a lot of content overlaps with the stuff for PSTAT 131 students, except for the final that has a proofs section a little bit harder but still doable for a grad student. The final project's instructions were vague but my final project was dogsh*t and got an A- so he's chill. If u want easy A, take coburn instead

0 helpful 0 unhelpful
PSTAT131 . Yu G H 1 Year, 10 Days Ago

Avoid this guy if you can! He gave a super difficult final exam, with a lot of confusing multiple choice/true or false questions. He was difficult to reach outside of the class. His office hour didn't have anyone, including himself.

0 helpful 0 unhelpful
See all 22 reviews
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