Suhas Diggavi
Department of Electrical Engineering
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5.0
Overall Rating
Based on 1 User
Easiness 3.0 / 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

  • Tough Tests
GRADE DISTRIBUTIONS
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.

35.9%
29.9%
23.9%
17.9%
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.

57.1%
47.6%
38.1%
28.6%
19.0%
9.5%
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.

51.9%
43.2%
34.6%
25.9%
17.3%
8.6%
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.

45.5%
37.9%
30.3%
22.7%
15.2%
7.6%
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.

ENROLLMENT DISTRIBUTIONS
Clear marks

Sorry, no enrollment data is available.

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Reviews (1)

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Quarter: Winter 2024
Grade: A
Verified Reviewer This user is a verified UCLA student/alum.
Aug. 30, 2024

The professor explains concepts very clearly, but the material can be challenging and requires a strong mathematical background. However, if you're willing to put in the effort to understand the math, you'll gain a solid grasp of the most important aspects of machine learning theory, which are crucial for research and future studies. Despite the difficulty of the content, the professor grades fairly.

Helpful?

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Verified Reviewer This user is a verified UCLA student/alum.
Quarter: Winter 2024
Grade: A
Aug. 30, 2024

The professor explains concepts very clearly, but the material can be challenging and requires a strong mathematical background. However, if you're willing to put in the effort to understand the math, you'll gain a solid grasp of the most important aspects of machine learning theory, which are crucial for research and future studies. Despite the difficulty of the content, the professor grades fairly.

Helpful?

0 0 Please log in to provide feedback.
1 of 1
5.0
Overall Rating
Based on 1 User
Easiness 3.0 / 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

  • Tough Tests
    (1)
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