My presentation at ISF 2024 conference (slides with nnetsauce probabilistic forecasting news)
My presentation at ISF 2024 conference slides with nnetsauce probabilistic forecasting news.
Python-bloggers
Data science news and tutorials - contributed by Python bloggers
Articles by T. Moudiki
10 uncertainty quantification methods in nnetsauce forecasting
10 uncertainty quantification methods in nnetsauce forecasting. [...Read more...]
Forecasting with XGBoost embedded in Quasi-Randomized Neural Networks
Forecasting with XGBoost embedded in Quasi-Randomized Neural Networks at the International Symposium on Forecasting.
Forecasting Monthly Airline Passenger Numbers with Quasi-Randomized Neural Networks
Forecasting Monthly Airline Passenger Numbers with Quasi-Randomized Neural Networks.
Automated hyperparameter tuning using any conformalized surrogate
Automated hyperparameter tuning for Machine Learning using any conformalized surrogate.
Recognizing handwritten digits with Ridge2Classifier
A detailed introduction to Deep Quasi-Randomized ‘neural’ networks
A detailed introduction to Deep Quasi-Randomized 'neural' networks, with examples in Python and R, and a preprint.
Probability of having a credit; using learningmachine
mlsauce’s `v0.18.2`: various examples and benchmarks with dimension reduction
Various LSBoost examples and benchmarks with PCA and RandomForest dimension reduction.
mlsauce’s `v0.17.0`: boosting with Elastic Net, polynomials and heterogeneity in explanatory variables
LSBoost's boosting with Elastic Net, polynomials and heterogeneity in explanatory variables.
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