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Statistical Machine Learning is used to discover patterns and relationships in large data sets. Topics will include: data exploration, classification and regression tress, 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

Passtime

None

Level Limit

Letters and science

College
Unlocks PSTAT 135 PSTAT 235 PSTAT 234 PSTAT 134
These majors only finms stsds actsc stsap stats
COBURN K M
Katie Coburn
3.3
48 reviews
PHELP1526
M
14:00 PM - 14:50 PM
0 / 24 Closed

PHELP1513
M
10:00 AM - 10:50 AM
20 / 20 Full

PHELP1513
M
11:00 AM - 11:50 AM
20 / 20 Full

PHELP1513
M
12:00 PM - 12:50 PM
20 / 20 Full

PHELP1526
M
13:00 PM - 13:50 PM
20 / 20 Full

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Winter 2024 . Coburn K M
ILP 1101
T R
14:00 PM - 15:15 PM
Winter 2024 . Coburn K M
NH 1006
T R
17:00 PM - 18:15 PM
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PSTAT 131 Coburn K M Spring 2025 Total: 95
PSTAT 131 Coburn K M Summer 2024 Total: 80
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48
3.3
PSTAT131 . Coburn K M 3 Months Ago

131 with coburn was probably one of the best classes i've had at UCSB. you can tell she really cares about the material and how passionate she is. the project was also super useful

0 helpful 0 unhelpful
PSTAT131 . Coburn K M 8 Months Ago

Good professor with knowledge of the subject. Straightforward in their expectations and lectures.

0 helpful 0 unhelpful
PSTAT131 . Coburn K M 1 Year, 6 Months Ago

She was really organised for this class and fair and it was pretty easy to do well. 5 homeworks - one due every two weeks worth 10% each, and you were allowed submit up to two homeworks up to a week late with no penalty. Final project worth 50% which you could do on whatever and she tells you all about that right at the start.

1 helpful 0 unhelpful
PSTAT131 . Coburn K M 1 Year, 7 Months Ago

I took Coburn for 120A my junior year and didn't love her as I felt like she didn't teach us enough. This course, on the other hand, she teaches very well. It's a lot of fun as 50% of the class is working on a final project and the rest is homeworks that help you with that project. She's genuinely fantastic at teaching this class.

0 helpful 0 unhelpful
PSTAT131 . Coburn K M 1 Year, 7 Months Ago

She is a fantastic professor in all aspects. My only qualm with her is her unresponsiveness over email, but this is mostly because I don't go to class :)

0 helpful 0 unhelpful
PSTAT131 . Coburn K M 2 Years Ago

I got an A according to my assignment grades + my Gauchospace grade and on GOLD I have a B. I reached out to Coburn about this but she's highly unresponsive so I reached out to my TA TWICE as well. My grade is STILL wrong and probably won't ever be fixed. I just graduated so like whatever but this isn't an issue students should have to deal with.

0 helpful 0 unhelpful
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PSTAT 131
80 / 104 Enrolled
Introduction to Statistical Machine Learning
Katie Coburn 3.3
T R
17:00 PM - 18:15 PM
58.5% A
PSTAT 122
98 / 100 Enrolled
Design and Analysis of Experiments
Ali Abuzaid 4.0
T R
08:00 AM - 09:15 AM
52.8% A
PSTAT 126
96 / 100 Enrolled
Regression Analysis
Karen GRIGORIAN 2.8
M W
18:30 PM - 19:45 PM
42.9% A
PSTAT 126
100 / 100 Full
Regression Analysis
Puja Pandey 4.3
T R
15:30 PM - 16:45 PM
42.9% A
PSTAT 127
100 / 100 Full
Advanced Statistical Models
Wendy Meiring 2.8
T R
17:00 PM - 18:15 PM
36.2% A
PSTAT 130
100 / 100 Full
SAS Base Programming
Julie Swenson 4.3
T
09:30 AM - 10:45 AM
35.7% A
PSTAT 134
125 / 125 Full
Statistical Data Science
Sang-Yun Oh 2.3
T R
15:30 PM - 16:45 PM
55.0% A