Damie Pak
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Damie Pak
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Eugene Onegin
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Technical Concepts
Bayesian
Conjugate Prior
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Probability
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Hessian Matrix
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Matrix types
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Singular value decomposition
Vector space
Machine learning
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Feature engineering
Loss functions
Principal component analysis
ROC (Receiver operating characteristic)
Probability Distributions
A. Probability Distribution
Distribution - Bernoulli
Distribution - Beta
Distribution - Binomial
Distribution - Erlang
Distribution - Gamma
Distribution - Joint
Distribution - Multivariate Normal
Distribution - Negative binomial
Distribution - Normal
Distribution - Poisson
Distribution - Student's t
Distribution - Uniform
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Exponential Family
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Generalized linear models (GLM)
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Interactions 1
Interactions
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p-value
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Test - Cohen's D
Theorem
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Bias - Types
Data leakage
Field
Functions - Miscelleaneous
Jensen's inequality
Limit Cycle
Log-log model
Longitudinal Data
Marginalization
Model selection
Negative control outcomes
Norms
Overfitting
SMOTE (Synthetic minority oversampling technique)
Splines
Transformation
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Distribution - Negative binomial
#probability
#continuous_distribution
Gist
Used for count data that may be overdispersed