Hyperparameters tuning with GPopt https://thierrymoudiki.github.io/blog/2021/06/11/python/misc/hyperparam-tuning-gpopt #Techtonique #DataScience #Python #rstats #MachineLearning

A new version of nnetsauce (randomized and quasi-randomized 'neural' networks) https://thierrymoudiki.github.io/blog/2023/04/02/python/r/quasirandomizednn/nnetsauce-python-only #Techtonique #DataScience #Python #rstats #MachineLearning

A new version of nnetsauce, and a new Techtonique website https://thierrymoudiki.github.io/blog/2020/09/11/misc/python/quasirandomizednn/nnetsauce-new-website #Techtonique #DataScience #Python #rstats #MachineLearning

Calling =TECHTO_FORECAST for forecasting in Excel is just a matter of copying and pasting https://thierrymoudiki.github.io/blog/2025/07/02/r/python/techto-forecast #Techtonique #DataScience #Python #rstats #MachineLearning

DeepMTS, a Deep Learning Model for Multivariate Time Series https://thierrymoudiki.github.io/blog/2024/01/15/python/quasirandomizednn/forecasting/DeepMTS #Techtonique #DataScience #Python #rstats #MachineLearning

A classifier that's very accurate (and deep) Pt.2: there are > 90 classifiers in nnetsauce https://thierrymoudiki.github.io/blog/2024/01/08/python/r/quasirandomizednn/nnetsauce-lazy-classifier-deep-classifier #Techtonique #DataScience #Python #rstats #MachineLearning

R version of Python package survivalist (using uv), for model-agnostic survival analysis (study of time-to-an-event) thierrymoudiki.github.io/blog/2026/02... #rstats

Enhancing Univariate and Multivariate Time Series Forecasting (ahead::ridge2f) with Attention-Based Context Vectors (ahead::contextridge2f) Attention without Transformers for Univariate and Multivariate Time Series Forecasting thierrymoudiki.github.io/blog/2026/01...

In this post, a surrogate model (here a kernel ridge regression model) is adjusted on the gap between a model’s cross-validation error and test set error. thierrymoudiki.github.io/blog/2026/01... More details can be found in this document: researchgate.net/publication/.... #rstats

GPopt for Machine Learning (hyperparameters' tuning) thierrymoudiki.github.io/blog/2026/01...

Hundreds of rejections. Hundreds. Individual files in: github.com/thierrymoudi... www.change.org/stop_torturi... @amnestyuk.bsky.social @amnesty.org @amnesty.de @amnestyfrance.bsky.social @hrw.org #oureverydayrights

@groktr.bsky.social Penal complaint filed & sent. Proof: github.com/thierrymoudi... and github.com/thierrymoudi.... Targeting CPN Laxou, firefighters, SAMU, police for forced entry & meds. Petition 225+! www.change.org/stop_torturi... #JusticePourTMoudiki #justicefortmoudiki #OurEveryDayRights

"Have you reached out to the European Court of Human Rights @echr.coe.int?" I did, more than once. 1. github.com/thierrymoudi... 2. github.com/thierrymoudi... 3. github.com/thierrymoudi... Updated README, summarizing the docs: github.com/thierrymoudi... Cc: @cashinvestigation.bsky.social

Python examples for ‘Beyond Nelson-Siegel and splines: A model- agnostic Machine Learning framework for discount curve calibration, interpolation and extrapolation’ www.r-bloggers.com/2026/01/pyth... #yieldcurve #quantfinance #quant

Python examples for 'Beyond Nelson-Siegel and splines: A model- agnostic Machine Learning framework for discount curve calibration, interpolation and extrapolation' thierrymoudiki.github.io/blog/2026/01... #python #yieldcurve #quant #quantfinance

My rights and the context (3rd day of hunger strike): github.com/thierrymoudi... #HungerStrike #OurEveryDayRights #HumanRights #JusticeDenial

A plethora of datasets at your fingertips Part3: how many times do couples cheat on each other? https://thierrymoudiki.github.io/blog/2024/02/19/python/quasirandomizednn/explainableml/nnetsauce-dl-data #Techtonique #DataScience #Python #rstats #MachineLearning

Diffusion models in ESGtoolkit + announcements https://thierrymoudiki.github.io/blog/2023/10/02/r/esgtoolkit-v062 #Techtonique #DataScience #Python #rstats #MachineLearning

A classifier that's very accurate (and deep) https://thierrymoudiki.github.io/blog/2023/11/12/python/r/quasirandomizednn/nnetsauce-deep-lazy #Techtonique #DataScience #Python #rstats #MachineLearning

Calling =TECHTO_SURVIVAL for Survival Analysis in Excel is just a matter of copying and pasting https://thierrymoudiki.github.io/blog/2025/07/04/r/python/techto-survival #Techtonique #DataScience #Python #rstats #MachineLearning

Recognizing handwritten digits with Ridge2Classifier https://thierrymoudiki.github.io/blog/2024/06/03/python/quasirandomizednn/ridge2classifier-loglik #Techtonique #DataScience #Python #rstats #MachineLearning

Calling =TECHTO_RESERVING and =TECHTO_MLRESERVING for claims triangle reserving in Excel is just a matter of copying and pasting https://thierrymoudiki.github.io/blog/2025/07/05/r/python/techto-reserving #Techtonique #DataScience #Python #rstats #MachineLearning

A web application for forecasting in Python, R, Ruby, C#, JavaScript, PHP, Go, Rust, Java, MATLAB, etc. https://thierrymoudiki.github.io/blog/2022/11/02/python/r/forecasting/misc/forecasting-api #Techtonique #DataScience #Python #rstats #MachineLearning

Simulating Stochastic Scenarios with Diffusion Models: A Guide to Using techtonique.net's API for the purpose https://thierrymoudiki.github.io/blog/2025/05/29/r/python/techtonique/esgtoolkit-techtonique-api #Techtonique #DataScience #Python #rstats #MachineLearning

Technical documentation https://thierrymoudiki.github.io/blog/2020/09/18/misc/python/quasirandomizednn/databases/mlsauce/explainableml/techtonique-website #Techtonique #DataScience #Python #rstats #MachineLearning

Calling =TECHTO_RESERVING and =TECHTO_MLRESERVING for claims triangle reserving in Excel is just a matter of copying and pasting https://thierrymoudiki.github.io/blog/2025/07/05/r/python/techto-reserving #Techtonique #DataScience #Python #rstats #MachineLearning

AdaOpt (a probabilistic classifier based on a mix of multivariable optimization and nearest neighbors) for R https://thierrymoudiki.github.io/blog/2020/05/22/r/adaopt/mlsauce/adaopt-classifier-2 #Techtonique #DataScience #Python #rstats #MachineLearning

Beyond ARMA-GARCH: leveraging model-agnostic Machine Learning and conformal prediction for nonparametric probabilistic stock forecasting (ML-ARCH) https://thierrymoudiki.github.io/blog/2025/06/02/r/beyond-garch #Techtonique #DataScience #Python #rstats #MachineLearning

A classifier that's very accurate (and deep) https://thierrymoudiki.github.io/blog/2023/11/12/python/r/quasirandomizednn/nnetsauce-deep-lazy #Techtonique #DataScience #Python #rstats #MachineLearning

R editor and SQL console (in addition to Python editors) in www.techtonique.net https://thierrymoudiki.github.io/blog/2024/10/21/r/python/sql/techtonique-sql-and-r-editor #Techtonique #DataScience #Python #rstats #MachineLearning

ESGtoolkit, a tool for Monte Carlo simulation (v0.2.0) https://thierrymoudiki.github.io/blog/2020/01/17/r/esgtoolkit-1 #Techtonique #DataScience #Python #rstats #MachineLearning

Word-Online: re-creating Karpathy's char-RNN (with supervised linear online learning of word embeddings) for text completion https://thierrymoudiki.github.io/blog/2025/03/08/r/python/llms/word-online #Techtonique #DataScience #Python #rstats #MachineLearning

10 uncertainty quantification methods in nnetsauce forecasting https://thierrymoudiki.github.io/blog/2024/07/01/python/quasirandomizednn/forecasting/nnetsauce-mts-new #Techtonique #DataScience #Python #rstats #MachineLearning

A Machine Learning workflow using Techtonique https://thierrymoudiki.github.io/blog/2022/06/06/python/lsboost/explainableml/mlsauce/techtonique-workflow #Techtonique #DataScience #Python #rstats #MachineLearning

A simple test of the martingale hypothesis in esgtoolkit https://thierrymoudiki.github.io/blog/2025/02/03/r/martingale-esgtoolkit #Techtonique #DataScience #Python #rstats #MachineLearning

Programming language-agnostic reserving using RidgeCV, LightGBM, XGBoost, and ExtraTrees Machine Learning models https://thierrymoudiki.github.io/blog/2025/06/13/r/techtonique/mlreserving #Techtonique #DataScience #Python #rstats #MachineLearning

Forecasting with `ahead` https://thierrymoudiki.github.io/blog/2021/10/15/r/misc/ahead-intro #Techtonique #DataScience #Python #rstats #MachineLearning

You can beat Forecasting LLMs (Large Language Models a.k.a foundation models) with nnetsauce.MTS Pt.2: Generic Gradient Boosting https://thierrymoudiki.github.io/blog/2024/12/01/python/nnetsauce-sktime-LLM-example-Pt2 #Techtonique #DataScience #Python #rstats #MachineLearning

A deeper learning architecture in nnetsauce https://thierrymoudiki.github.io/blog/2020/12/18/python/quasirandomizednn/deep-nnetsauce #Techtonique #DataScience #Python #rstats #MachineLearning

#oureverydayrights #justicedenial

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

Feedback forms for contributing https://thierrymoudiki.github.io/blog/2020/02/07/r/explainableml/databases/quasirandomizednn/misc/forms #Techtonique #DataScience #Python #rstats #MachineLearning

New instantaneous short rates models with their deterministic shift adjustment, for historical and risk-neutral simulation https://thierrymoudiki.github.io/blog/2025/10/27/r/python/deterministic-shift-caps-swaptions #Techtonique #DataScience #Python #rstats #MachineLearning

A Machine Learning workflow using Techtonique https://thierrymoudiki.github.io/blog/2022/06/06/python/lsboost/explainableml/mlsauce/techtonique-workflow #Techtonique #DataScience #Python #rstats #MachineLearning

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

A dashboard illustrating bivariate time series forecasting with `ahead` https://thierrymoudiki.github.io/blog/2022/01/14/r/python/forecasting/ridge2-dashboard #Techtonique #DataScience #Python #rstats #MachineLearning

Command Line Interface (CLI) for techtonique.net's API https://thierrymoudiki.github.io/blog/2025/01/31/python/r/techtonique/techtonique-CLI #Techtonique #DataScience #Python #rstats #MachineLearning

Word-Online: re-creating Karpathy's char-RNN (with supervised linear online learning of word embeddings) for text completion https://thierrymoudiki.github.io/blog/2025/03/08/r/python/llms/word-online #Techtonique #DataScience #Python #rstats #MachineLearning