Timeline for Most difficult subject/theory in Computer Science?
Current License: CC BY-SA 2.5
6 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Mar 25, 2011 at 15:18 | comment | added | aggietech | well ... pattern recog can also be seen as applied statistics, it's not just a problem within the range of CS | |
| Feb 1, 2011 at 23:31 | comment | added | David Poole | I am just beginning to climb this particular mountain (pattern recognition). It's hard. LOTS of math. Great, huge, intimidating piles of math, staring back at me, daring me to enter. | |
| Feb 1, 2011 at 3:26 | history | edited | Chris | CC BY-SA 2.5 | added 1 characters in body |
| Feb 1, 2011 at 3:06 | comment | added | Ken Bloom | It's hard because it's not something that's deterministic. Developing a good AI pattern recognition requires experimentation for every application you want to use it for, to ensure you pick the right algorithm, the right features, etc... | |
| Feb 1, 2011 at 3:03 | history | made wiki | Post Made Community Wiki | ||
| Jan 31, 2011 at 18:00 | history | answered | Malfist | CC BY-SA 2.5 |