INF ML AI
Information, machine learning and AI related cards.
- ELBO via Jensen
- INF ML AI
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- Webber's law, Fechner's law and Stevens' law
- Chi-squared distribution
- Binomial distribution. A perspective.
- Random number generation in Numpy
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- Characterizing a surface's "color" properties
- CIE XYZ color matching curves
- Color perception
- Correlated color temperature (CCT)
- Different spectra, same color
- Standard illuminants
- Width of visible light waves
- Accuracy, precision, recall
- Auto-encoder (VAE?) [stub]
- Latent variables in autoencoders
- Richard–Berry paradox
- The two types of compressors
- Color science 1.0 Introduction
- Covariance matrix
- Multivariate Gaussian distribution
- Gaussian distribution
- Belief Networks (by Koller)
- Compression and modularity of probabilistic models
- Motivation for graphical models
- Belief networks
- Belief networks: independence
- Belief networks: independence
- Belief networks: independence examples
- How many parameters are needed to describe this distribution?
- The urns
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- Symbol codes
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- Entropy of an ensemble
- Shannon information content
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- Cross-Entropy and KL divergence
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- Covariance
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- Photometry
Download: deck package (import with Anki)