Articles by T. Moudiki
2020 recap, Gradient Boosting, Generalized Linear Models, AdaOpt with nnetsauce and mlsauce
2020 recap, Gradient Boosting, Generalized Linear Models, AdaOpt with nnetsauce and mlsauce [Read more...]
Classify penguins with nnetsauce’s MultitaskClassifier
Bayesian forecasting for uni/multivariate time series
Boosting nonlinear penalized least squares
Explainable Statistical/Machine Learning explainability using Kernel Ridge Regression surrogates
Submitting R package to CRAN
Simulation of dependent variables in ESGtoolkit
Forecasting lung disease progression
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.
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