CS 294 (Spring 08) background.
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1. Default Section
1
. What is your department/division?
What is your department/division?
Computer Science
Electrical Engineering
Math
Other Engineering
Biological Sciences
Other (please specify)
2
. What year and program are you?
What year and program are you?
Undergraduate
Masters
1st year PhD
2nd year PhD
3rd year PhD
4th or later year PhD
3
. What is your background in linear algebra and probability/statistics?
Level
Linear Algebra
None
Very Little Exposure
Some Exposure
Generally Comfortable
What is your background in linear algebra and probability/statistics? Linear Algebra Level
Probability
None
Very Little Exposure
Some Exposure
Generally Comfortable
Probability Level
Statistics
None
Very Little Exposure
Some Exposure
Generally Comfortable
Statistics Level
4
. What are the major things that you want to get out of the class?
What are the major things that you want to get out of the class?
Course Credit for fulfilling requirements.
An overview of Machine Learning for general knowledge.
Find places where Machine Learning could be applied to your research.
Learn how to solve a specific problem you are facing in your research.
5
. What's the level of detail you would prefer?
What's the level of detail you would prefer?
I want to see objective function and the derivation of an algorithm
Just show me the objective function and the algorithm
Just tell me how to code up the algorithm
Just tell me how to use existing software
6
. Everyone participating in the class wants it to be as useful for you as possible. What specific fields or topics do you wish to see covered, do you have any applications you are interested, etc? Basically, tell us what you would like the course to be.
Everyone participating in the class wants it to be as useful for you as possible. What specific fields or topics do you wish to see covered, do you have any applications you are interested, etc? Basically, tell us what you would like the course to be.
7
. When would you prefer office hours.
When would you prefer office hours.
Monday at 5
Thursday at 5
Friday at 2
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