Michael Clark
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All (29)
bayesian (5)
big data (1)
boosting (5)
deep learning (6)
empirical bayes (1)
exploratory data analysis (1)
factor analysis (3)
GAM (2)
GLM (3)
machine learning (8)
mediation (1)
miscellaneous (2)
mixed models (8)
programming (1)
regression (10)
reliability (1)
SEM (3)
time series (1)
visualization (1)

Models Demystified


Is Boosting Still All You Need for Tabular Data?

deep learning
machine learning
boosting

An update on the state of deep learning for tabular data, featuring practical model implementation.

Mar 1, 2026
Michael Clark

My Book is Out!

A long journey finally culminates in a published book!

Aug 15, 2025
Michael Clark

Uncertainty Estimation with Conformal Prediction

machine learning
regression
boosting
bayesian

More options for uncertainty estimation

Jun 1, 2025
Michael Clark

Imbalanced Outcomes

machine learning
regression
boosting

Challenges and solutions for this common situation

Apr 7, 2025
Michael Clark

Some News for the New Year

Among many things that have happened recently, I’ve become a father to a beautiful baby girl, and written a book to come out this year (2025). Fun stuff!
Jan 1, 2025
Michael Clark
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BibTeX citation:
@online{untitled,
  author = {},
  title = {Models {Demystified}},
  url = {https://m-clark.github.io/},
  langid = {en}
}
For attribution, please cite this work as:
“Models Demystified.” n.d. https://m-clark.github.io/.