My PlannerExplore and compare past grades, professor ratings, and reviews to find the perfect class.
Grades:
Median GPA:
Mean GPA:
Search Results
| Name | Grades | Rating |
|---|---|---|
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
Grades:
Median GPA:
Mean GPA:
5.0
Professor rating
5.0
Difficulty
1,000
Ratings given
99%
Would take again
Visit Rate My Professors
Grades:
Median GPA:
Mean GPA:
Search Results
| Name | Grades | Rating |
|---|---|---|
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
Search Results
| Name | Grades | Rating |
|---|---|---|
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
Search Results
| Name | Grades | Rating |
|---|---|---|
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
Search Results
| Name | Grades | Rating | |||
|---|---|---|---|---|---|
EE 4331 Lakshman Tamil | |||||
A | |||||
Search Results
| Name | Grades | Rating | |||
|---|---|---|---|---|---|
EE 4331 Lakshman Tamil | |||||
A | |||||
Grades: 1,167
Median GPA: A
Mean GPA: 3.864
3.8
Professor rating
2.6
Difficulty
25
Ratings given
77%
Would take again
Applied Machine Learning
EE 4331 (Same as CE 4331)
Erik Jonsson School of Engineering and Computer Science
Introduction to machine learning; supervised and unsupervised learning models; neural network and deep neural network learning models; work-flow; performance measures; implementation strategies for machine learning, social impacts and ethics of machine learning. 3 credit hours.
Prerequisites: (MATH 2414 or MATH 2417) and ENGR 2300 and ENGR 3341.
Offering Frequency: Each semester
Grades: 180
Median GPA: A
Mean GPA: 3.717
Click a checkbox to add something to compare.
Grades: 1,167
Median GPA: A
Mean GPA: 3.864
3.8
Professor rating
2.6
Difficulty
25
Ratings given
77%
Would take again
Applied Machine Learning
EE 4331 (Same as CE 4331)
Erik Jonsson School of Engineering and Computer Science
Introduction to machine learning; supervised and unsupervised learning models; neural network and deep neural network learning models; work-flow; performance measures; implementation strategies for machine learning, social impacts and ethics of machine learning. 3 credit hours.
Prerequisites: (MATH 2414 or MATH 2417) and ENGR 2300 and ENGR 3341.
Offering Frequency: Each semester
Grades: 180
Median GPA: A
Mean GPA: 3.717
Click a checkbox to add something to compare.