Important CS fundamentals for AI grad school Computer Science |
- Important CS fundamentals for AI grad school
- Prefer simple. Avoid clever. Try an int. It's generic, effective, simple and efficient.
- What are universal special or edge cases that ought to always be applied when testing new software?
| Important CS fundamentals for AI grad school Posted: 23 Feb 2018 06:09 PM PST I am about to go to UB n study grad school in AI (just got accepted). I was wondering what CS fundamentals I should know. I do not have an undergrad background in CS. I have a background in Electric Engineering (mostly physical hardware and circuits) and a background in mathematics Probability and Statistics. I only have limited amount of time and energy so I would like to know what is crucial for AI. (Also maybe advice on what areas I should focus on in grad school to land a job as a ML/Computer vision engineer) [link] [comments]  |
| Prefer simple. Avoid clever. Try an int. It's generic, effective, simple and efficient. Posted: 23 Feb 2018 10:02 AM PST |
| What are universal special or edge cases that ought to always be applied when testing new software? Posted: 23 Feb 2018 11:04 AM PST What are universal special or edge cases that ought to always be applied when testing new software? I'd like to ensure that I'm covering all cases during the testing phase of software development. Thank you! [link] [comments]  |
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