Difference between revisions of "Matematika datorikiem"
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* PCA - principal component analysis |
* PCA - principal component analysis |
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* Kalman filter |
* Kalman filter |
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* Fourier transformation ([http://en.wikipedia.org/wiki/Fourier_transform wikipedia]) |
* Fourier transformation ([http://en.wikipedia.org/wiki/Fourier_transform wikipedia], [http://www.youtube.com/watch?v=BjBb5IlrNsQ Video lekcija no Stanford U.], [http://www.dspguide.com/ch8.htm DSPGuide par DFT]) |
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* Standard deviation |
* Standard deviation |
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* Expected value |
* Expected value |
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Revision as of 14:23, 16 March 2011
Kas jāzina datoriķim no matemātikas un teorijas.
Šis nebūt nav izsmeļošs saraksts, bet tēmas un atslēgvardi ar ko nācies vairākkārt praktiski saskārties.
- Markov model
- Hidden Markov model
- Markov chains
- PCA - principal component analysis
- Kalman filter
- Fourier transformation (wikipedia, Video lekcija no Stanford U., DSPGuide par DFT)
- Standard deviation
- Expected value
- Convolution
- Correlation
- Point spread function
