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Numbers and Code

Machine Learning, Data Science, Statistics

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Why probability and uncertainty should be an integral part of regression models (II)

October 9, 2020SaremJulia, Linear Model, Machine Learning, Probability, Regression, Statistics, Uncertainty

A brief, probabilistic demand forecast model

May 7, 2020SaremAlgorithms, Applications, Forecasting, Julia, Machine Learning, Time Series

Generalized Additive Neural Networks

December 17, 2019Sarem2 CommentsInterpretable Machine Learning, Julia, Linear Model, Machine Learning, Neural Networks

More simple time-series models – this time with Decision Trees

February 24, 2019SaremApplications, Decision Trees, Forecasting, Machine Learning, Time Series

A partially interpretable, semi-parametric Neural Network

April 9, 2018SaremAlgorithms, Applications, Machine Learning, Neural Networks, Python, Uncategorized

A brief proof-of-concept for Kernelized Decision Trees

March 22, 2018SaremApplications, Classification, Decision Trees, Machine Learning, Python

How Decision Trees can learn non-rectangular decision splits

March 18, 2018SaremClassification, Decision Trees, Machine Learning, Python

RuleFit on real-world data

March 10, 2018Sarem16 CommentsAlgorithms, Applications, Decision Trees, Gradient Boosting, Machine Learning, Python

RuleFit for interpretable Machine Learning

March 10, 2018Sarem7 CommentsAlgorithms, Decision Trees, Machine Learning, Python, Random Forest
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