Articles by T. Moudiki
Explainable ‘AI’ using Gradient Boosted randomized networks Pt2 (the Lasso)
Explainable ‘AI’ using Gradient Boosted randomized networks Pt2 (the Lasso)
Explainable ‘AI’ using Gradient Boosted randomized networks Pt2 (the Lasso)
LSBoost: Explainable ‘AI’ using Gradient Boosted randomized networks (with examples in R and Python)
LSBoost: Explainable ‘AI’ using Gradient Boosted randomized networks (with examples in R and Python)
LSBoost: Explainable ‘AI’ using Gradient Boosted randomized networks (with examples in R and Python)
nnetsauce version 0.5.0, randomized neural networks on GPU
Maximizing your tip as a waiter (Part 2)
A target-based categorical encoder for Statistical/Machine Learning (based on correlations) Part 3.
Maximizing your tip as a waiter (Part 2)
A target-based categorical encoder for Statistical/Machine Learning (based on correlations) Part 3.
Maximizing your tip as a waiter
A target-based categorical encoder for Statistical/Machine Learning (based on correlations) Part 2.
Maximizing your tip as a waiter
A target-based categorical encoder for Statistical/Machine Learning (based on correlations) Part 2.
AdaOpt classification on MNIST handwritten digits (without preprocessing)
AdaOpt (a probabilistic classifier based on a mix of multivariable optimization and a nearest neighbors) for R
AdaOpt (a probabilistic classifier based on a mix of multivariable optimization and a nearest neighbors) for R
Custom errors for cross-validation using crossval::crossval_ml
Custom errors for cross-validation using crossval::crossval_ml [Read more...]
Encoding your categorical variables based on the response variable and correlations
A target-based categorical encoder for Statistical/Machine Learning (based on correlations)
Linear model, xgboost and randomForest cross-validation using crossval::crossval_ml
Grid search cross-validation using crossval
Time series cross-validation using crossval
On model specification, identification, degrees of freedom and regularization
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