LSBoost: Explainable 'AI' using Gradient Boosted randomized networks (with examples in R and Python)
https://thierrymoudiki.github.io/blog/2020/07/24/python/r/lsboost/explainableml/mlsauce/xai-boosting
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@teeeeeeeee.bsky.socialLSBoost: Explainable 'AI' using Gradient Boosted randomized networks (with examples in R and Python)
https://thierrymoudiki.github.io/blog/2020/07/24/python/r/lsboost/explainableml/mlsauce/xai-boosting
@teeeeeeeee.bsky.socialNews from ESGtoolkit, ycinterextra, and nnetsauce
https://thierrymoudiki.github.io/blog/2022/04/04/python/r/misc/packages-news
@teeeeeeeee.bsky.socialStacked generalization (Machine Learning model stacking) + conformal prediction for forecasting with ahead::mlf
https://thierrymoudiki.github.io/blog/2025/06/18/r/mlf-stacking
@teeeeeeeee.bsky.socialA Guide to Using techtonique.net's API and rush for simulating and plotting Stochastic Scenarios
https://thierrymoudiki.github.io/blog/2025/05/30/r/python/techtonique/esgtoolkit-techtonique-api-rush
@teeeeeeeee.bsky.socialBoosted Configuration (_neural_) Networks for classification
https://thierrymoudiki.github.io/blog/2022/07/21/r/misc/boosted-configuration-networks
@teeeeeeeee.bsky.socialPrediction intervals (not only) for Boosted Configuration Networks in Python
https://thierrymoudiki.github.io/blog/2022/10/05/python/explainableml/interpretation-and-PI-for-BCN
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@teeeeeeeee.bsky.social@teeeeeeeee.bsky.socialunifiedml in R: A Unified Machine Learning Interface
https://thierrymoudiki.github.io/blog/2025/11/05/r/unifiedml-in-r
@teeeeeeeee.bsky.socialTests for the significance of marginal effects in the teller
https://thierrymoudiki.github.io/blog/2019/11/08/explainableml/the-teller-2
@teeeeeeeee.bsky.socialNews from ESGtoolkit, ycinterextra, and nnetsauce
https://thierrymoudiki.github.io/blog/2022/04/04/python/r/misc/packages-news
@teeeeeeeee.bsky.socialComments section and other news
https://thierrymoudiki.github.io/blog/2020/06/12/misc/comments-section
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@teeeeeeeee.bsky.social@teeeeeeeee.bsky.socialDiffusion models in ESGtoolkit + announcements
https://thierrymoudiki.github.io/blog/2023/10/02/r/esgtoolkit-v062
@teeeeeeeee.bsky.socialConformalized TabPFN: Prediction Intervals for a Pretrained Transformer for Tabular Data in Python and R
https://thierrymoudiki.github.io/blog/2026/05/17/r/python/conformalized-tabpfn
@teeeeeeeee.bsky.socialConformal Optimization Beats Bayesian Optimization, Optuna and Random Search on 72 classification Datasets
https://thierrymoudiki.github.io/blog/2026/04/19/python/conformalBO-vs-GPBO
@teeeeeeeee.bsky.socialChat with your tabular data in www.techtonique.net
https://thierrymoudiki.github.io/blog/2024/10/30/python/r/techtonique/chat-your-tabular
@teeeeeeeee.bsky.socialsurvivalist: Probabilistic model-agnostic survival analysis using scikit-learn, glmnet, xgboost, lightgbm, pytorch, keras, nnetsauce and mlsauce
https://thierrymoudiki.github.io/blog/2024/12/15/python/agnostic-survival-analysis
@teeeeeeeee.bsky.socialUnivariate and Multivariate Probabilistic Forecasting with nnetsauce and TabPFN
https://thierrymoudiki.github.io/blog/2025/01/14/python/forecasting-nnetsauce-tabpfn