GPopt for Machine Learning (hyperparameters' tuning)
https://thierrymoudiki.github.io/blog/2026/01/21/python/GPopt-for-ML

#Python #DataScience #MachineLearning #rstats #Techtonique

Back next week, and a few announcements
https://thierrymoudiki.github.io/blog/2020/09/04/misc/python/quasirandomizednn/nnetsauce

#Python #DataScience #MachineLearning #rstats #Techtonique

Web app with DeepSeek R1 and Hugging Face API for chatting
https://thierrymoudiki.github.io/blog/2025/02/23/python/r/llms/deepseek-hugginface

#Python #DataScience #MachineLearning #rstats #Techtonique

Model calibration with `crossval`
https://thierrymoudiki.github.io/blog/2019/10/04/r/crossval-1

#Python #DataScience #MachineLearning #rstats #Techtonique

AutoML in nnetsauce (randomized and quasi-randomized nnetworks)
https://thierrymoudiki.github.io/blog/2023/10/22/python/quasirandomizednn/nnetsauce-lazy-predict-preview

#Python #DataScience #MachineLearning #rstats #Techtonique

Grid search cross-validation using crossval
https://thierrymoudiki.github.io/blog/2020/04/10/r/misc/grid-search-crossval

#Python #DataScience #MachineLearning #rstats #Techtonique

2019 Recap, the nnetsauce, the teller and the querier
https://thierrymoudiki.github.io/blog/2019/12/20/databases/quasirandomizednn/explainableml/recap-1

#Python #DataScience #MachineLearning #rstats #Techtonique

Techtonique is released! (with a tutorial in various programming languages and formats)
https://thierrymoudiki.github.io/blog/2025/01/14/r/forecasting/python/misc/techtonique/techtonique-out

#Python #DataScience #MachineLearning #rstats #Techtonique

You can beat Forecasting LLMs (Large Language Models a.k.a foundation models) with nnetsauce.MTS
https://thierrymoudiki.github.io/blog/2024/11/24/r/python/forecasting/nnetsauce/nnetsauce-sktime-LLM

#Python #DataScience #MachineLearning #rstats #Techtonique

Risk-neutralize simulations
https://thierrymoudiki.github.io/blog/2023/09/04/r/misc/ahead-neutralize

#Python #DataScience #MachineLearning #rstats #Techtonique

Quasi-randomized nnetworks in Julia, Python and R
https://thierrymoudiki.github.io/blog/2023/11/27/python/r/julia/quasirandomizednn/julia-nnetsauce

#Python #DataScience #MachineLearning #rstats #Techtonique

Conformal Optimization Beats Bayesian Optimization, Optuna and Random Search on 72 classification Datasets
https://thierrymoudiki.github.io/blog/2026/04/19/python/conformalBO-vs-GPBO

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Fast conformal prediction (no refitting) for some Machine Learning models via closed-form jackknife plus
https://thierrymoudiki.github.io/blog/2026/06/27/r/python/jackknife-plus-smoothers

#Python #DataScience #MachineLearning #rstats #Techtonique

Using scikit-learn models in R easily with the tisthemachinelearner package
https://thierrymoudiki.github.io/blog/2026/06/21/r/tisthemllearner

#Python #DataScience #MachineLearning #rstats #Techtonique

A lightweight interface to scikit-learn in R: Bayesian and Conformal prediction
https://thierrymoudiki.github.io/blog/2025/04/21/r/tisthemachinelearner

#Python #DataScience #MachineLearning #rstats #Techtonique

News from ESGtoolkit, ycinterextra, and nnetsauce
https://thierrymoudiki.github.io/blog/2022/04/04/python/r/misc/packages-news

#Python #DataScience #MachineLearning #rstats #Techtonique

Gradient-Boosting anything (alert: high performance)
https://thierrymoudiki.github.io/blog/2024/10/06/python/r/genericboosting

#Python #DataScience #MachineLearning #rstats #Techtonique

(News from) Probabilistic Forecasting of univariate and multivariate Time Series using Quasi-Randomized Neural Networks (Ridge2) and Conformal Prediction
https://thierrymoudiki.github.io/blog/2025/03/09/r/ridge2-conformal

#Python #DataScience #MachineLearning #rstats #Techtonique