GPT in Data Science: A Practical Exploration of Model Selection.

Nathalia Moraes do Nascimento Cristina Tavares Paulo S. C. Alencar Donald D. Cowan

Published in: CoRR (2023)

Keyphrases

model selection
data science
statistical learning
cross validation
machine learning
bayesian learning
hyperparameters
parameter estimation

sample size
gaussian process
mixture model
error estimation
statistical inference
selection criterion
regression model
unsupervised learning

bayesian methods
parameter determination
feature selection
bayesian information criterion
real world
generalization error
variable selection
information criterion

big data
graphical models
feature extraction
mutual information
marginal likelihood
model selection criteria
automatic model selection