learningmachine for Python (new version)
learningmachine for Python: Machine Learning with explanations and uncertainty quantification
Python-bloggers
Data science news and tutorials - contributed by Python bloggers
Articles by T. Moudiki
My presentation at ISF 2024 conference (slides with nnetsauce probabilistic forecasting news)
My presentation at ISF 2024 conference slides with nnetsauce probabilistic forecasting news.
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.
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