Useful ML Libraries
Useful Datasets
Face recognition:
Character recognition:
MNIST database
Object Recognition data:
Indoor Scene Recognition
MIT dataset
Various other datasets:
Matlab Software:
Matlab can be used from home through "virtual lab":
virtual lab
Matlab is available on Unix in the Middlesex College labs, and on MS windows on some machines
in MC10 and MC8:
- MC8 - left hand side facing the wall
- MC10 - right hand facing wall with chalk board
It is also available on Windows in the general student labs, see
http://www.uwo.ca/its/genlabs/ for general lab locations.
There is some freely available software on the web, however it is your responsibility to make sure your code compiles in the matlab (you can check so by using a university lab)
The information below is cortesy Karim (thanks!)
- Octave:
Highly compatible with matlab, for Linux
- Octave:
Highly compatible with matlab, for Windows
- Scilab:
Close to matlab, but not really compatible (for example : matrice creation : it uses commas instead of spaces to separate values on the same row), but there is converters from matlab to scilab and the other way.
Matlab Tutorials:
Machine Learning Courses: