Arash Ali Amini
Department of Statistics
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5.0
Overall Rating
Based on 1 User
Easiness 2.0 / 5 How easy the class is, 1 being extremely difficult and 5 being easy peasy.
Clarity 5.0 / 5 How clear the class is, 1 being extremely unclear and 5 being very clear.
Workload 4.0 / 5 How much workload the class is, 1 being extremely heavy and 5 being extremely light.
Helpfulness 5.0 / 5 How helpful the class is, 1 being not helpful at all and 5 being extremely helpful.

TOP TAGS

  • Uses Slides
  • Useful Textbooks
  • Would Take Again
GRADE DISTRIBUTIONS
46.4%
38.7%
31.0%
23.2%
15.5%
7.7%
0.0%
A+
A
A-
B+
B
B-
C+
C
C-
D+
D
D-
F

Grade distributions are collected using data from the UCLA Registrar’s Office.

37.8%
31.5%
25.2%
18.9%
12.6%
6.3%
0.0%
A+
A
A-
B+
B
B-
C+
C
C-
D+
D
D-
F

Grade distributions are collected using data from the UCLA Registrar’s Office.

36.0%
30.0%
24.0%
18.0%
12.0%
6.0%
0.0%
A+
A
A-
B+
B
B-
C+
C
C-
D+
D
D-
F

Grade distributions are collected using data from the UCLA Registrar’s Office.

39.4%
32.8%
26.3%
19.7%
13.1%
6.6%
0.0%
A+
A
A-
B+
B
B-
C+
C
C-
D+
D
D-
F

Grade distributions are collected using data from the UCLA Registrar’s Office.

50.0%
41.7%
33.3%
25.0%
16.7%
8.3%
0.0%
A+
A
A-
B+
B
B-
C+
C
C-
D+
D
D-
F

Grade distributions are collected using data from the UCLA Registrar’s Office.

32.4%
27.0%
21.6%
16.2%
10.8%
5.4%
0.0%
A+
A
A-
B+
B
B-
C+
C
C-
D+
D
D-
F

Grade distributions are collected using data from the UCLA Registrar’s Office.

ENROLLMENT DISTRIBUTIONS
Clear marks

Sorry, no enrollment data is available.

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Reviews (1)

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Quarter: Winter 2023
Grade: A
Verified Reviewer This user is a verified UCLA student/alum.
April 5, 2023

This is a fairly mathematically intensive class that covers a lot of the theoretical background to decision theory and statistics. I would go into more detail here, but actually Prof. Amini makes all materials (including lecture videos) available on his own page here: http://www.stat.ucla.edu/~arashamini/teaching/200b-w23

Being an ECE major with an ML background, I found the class quite challenging, but also enjoyable as I felt it provided a deeper understanding of the relationship between data and the estimators (models). That said, the class is fairly abstract so it is more useful to someone who is interested in ML theory papers than implementation-focused ones. Regarding the lectures, I sometimes found Prof. Amini a bit difficult to understand as he soft-spoken, but as he records his lectures I could re-watch those moments again later.

Helpful?

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Verified Reviewer This user is a verified UCLA student/alum.
Quarter: Winter 2023
Grade: A
April 5, 2023

This is a fairly mathematically intensive class that covers a lot of the theoretical background to decision theory and statistics. I would go into more detail here, but actually Prof. Amini makes all materials (including lecture videos) available on his own page here: http://www.stat.ucla.edu/~arashamini/teaching/200b-w23

Being an ECE major with an ML background, I found the class quite challenging, but also enjoyable as I felt it provided a deeper understanding of the relationship between data and the estimators (models). That said, the class is fairly abstract so it is more useful to someone who is interested in ML theory papers than implementation-focused ones. Regarding the lectures, I sometimes found Prof. Amini a bit difficult to understand as he soft-spoken, but as he records his lectures I could re-watch those moments again later.

Helpful?

0 0 Please log in to provide feedback.
1 of 1
5.0
Overall Rating
Based on 1 User
Easiness 2.0 / 5 How easy the class is, 1 being extremely difficult and 5 being easy peasy.
Clarity 5.0 / 5 How clear the class is, 1 being extremely unclear and 5 being very clear.
Workload 4.0 / 5 How much workload the class is, 1 being extremely heavy and 5 being extremely light.
Helpfulness 5.0 / 5 How helpful the class is, 1 being not helpful at all and 5 being extremely helpful.

TOP TAGS

  • Uses Slides
    (1)
  • Useful Textbooks
    (1)
  • Would Take Again
    (1)
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