Basics in distributed data storage, retrieval, processing and cloud computing. Overview of methods for analyzing big data from both high dimensional statistics and machine learning - topics chosen from penalized regression, classification/clustering, dimension reduction, random projections, kernel methods, network clustering, graph analytics, supervised and unsupervised learning among others.

Prerequisites: PSTAT 131 or PSTAT 231 or Computer Science 165B; and Computer Science 9 or Computer Science 16. A minimum letter grade of C or better must be earned in each course.

4

Units

Optional

Grading

1, 2, 3

Passtime

Graduate students only

Level Limit

Letters and science

College
OH SANG-YUN
Sang-Yun Oh
2.3
27 reviews
PHELP1513
M
12:00 PM - 12:50 PM
5 / 5 Full

PHELP1513
M
13:00 PM - 13:50 PM
5 / 5 Full

PHELP1513
M
14:00 PM - 14:50 PM
5 / 5 Full

PHELP1513
M
15:00 PM - 15:50 PM
5 / 5 Full

PHELP1513
M
16:00 PM - 16:50 PM
5 / 5 Full

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PSTAT 235 Oh Sang-Yun Winter 2023 Total: 5
PSTAT 235 Tashman A P Fall 2020 Total: 6
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27
2.3
PSTAT134 . Oh Sang-Yun 8 Days Ago

Very bad and boring lectures. Do not take this professor if you actually want to learn anything.

0 helpful 0 unhelpful
PSTAT134 . Oh Sang-Yun 11 Months Ago

the way the class is weighted it is easy to get a good grade without doing that much however class was so boring i did not learn anything in class and I was confused all quarter long. I came away from this class feeling like I learned absolutely nothing.

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PSTAT126 . Oh Sang-Yun 1 Year, 2 Months Ago

Oh has a unique talent for ignoring student feelings and never bothers with such trivial matters as seeing things from their perspective. Truly, a 'remarkable' choice for anyone seeking an 'unforgettable' learning experience. Highly 'recommended' for those who appreciate the finer nuances of educational indifference.

0 helpful 0 unhelpful
PSTAT126 . Oh Sang-Yun 1 Year, 2 Months Ago

He has a unique talent for ignoring student feelings and never bothers with such trivial matters as seeing things from their perspective. Truly, a 'remarkable' choice for anyone seeking an 'unforgettable' learning experience. Highly 'recommended' for those who appreciate the finer nuances of educational indifference.

0 helpful 0 unhelpful
PSTAT134 . Oh Sang-Yun 1 Year, 4 Months Ago

This man eats boring pills for breakfast, lunch, and dinner.

0 helpful 0 unhelpful
PSTAT126 . Oh Sang-Yun 2 Years Ago

Prof.Oh is approachable and organized. Grade is determined by 2 exams (25% and 35%), and 40% hw. One downside is his complicated lectures; the material is not the most difficult if you read the textbook but Prof.Oh's lectures make them seem more complex. The exams were conceptual and much easier than the lectures. The class uses R language.

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