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T. @ Techtonique

@teeeeeeeee.bsky.social
90 followers 14 following 4.8K posts

tech, stats, machine learning, computer simulation, numerical optimization github.com/Techtonique

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T. @ Techtonique @teeeeeeeee.bsky.social · 2h
Probabilistic Machine Learning (for longitudinal data) Reserving (work in progress) thierrymoudiki.github.io/blog/2025/… #Python #DataScience #MachineLearning #rstats #Techtonique
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T. @ Techtonique @teeeeeeeee.bsky.social · 16h
Model calibration with `crossval` thierrymoudiki.github.io/blog/2019/… #Python #DataScience #MachineLearning #rstats #Techtonique
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T. @ Techtonique @teeeeeeeee.bsky.social · 21h
Time series cross-validation using `crossvalidation` (Part 2) thierrymoudiki.github.io/blog/2021/… #Python #DataScience #MachineLearning #rstats #Techtonique
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T. @ Techtonique @teeeeeeeee.bsky.social · 09/10/2026
nnetsauce version 0.5.0, randomized neural networks on GPU thierrymoudiki.github.io/blog/2020/… #Python #DataScience #MachineLearning #rstats #Techtonique
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T. @ Techtonique @teeeeeeeee.bsky.social · 09/10/2026
Diffusion models in ESGtoolkit + announcements thierrymoudiki.github.io/blog/2023/… #Python #DataScience #MachineLearning #rstats #Techtonique
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T. @ Techtonique @teeeeeeeee.bsky.social · 08/10/2026
Python version of Semi-parametric option pricing based on underlying's historical data (accepted at the osQF 2026 (ex R/Finance) conference) thierrymoudiki.github.io/blog/2026/… #Python #DataScience #MachineLearning #rstats #Techtonique
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T. @ Techtonique @teeeeeeeee.bsky.social · 08/10/2026
Explainable 'AI' using Gradient Boosted randomized networks Pt2 (the Lasso) thierrymoudiki.github.io/blog/2020/… #Python #DataScience #MachineLearning #rstats #Techtonique
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T. @ Techtonique @teeeeeeeee.bsky.social · 08/10/2026
Version 0.4.0 of nnetsauce, with fruits and breast cancer classification thierrymoudiki.github.io/blog/2020/… #Python #DataScience #MachineLearning #rstats #Techtonique
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T. @ Techtonique @teeeeeeeee.bsky.social · 08/10/2026
AdaOpt thierrymoudiki.github.io/blog/2020/… #Python #DataScience #MachineLearning #rstats #Techtonique
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T. @ Techtonique @teeeeeeeee.bsky.social · 07/10/2026
A web application for forecasting in Python, R, Ruby, C#, JavaScript, PHP, Go, Rust, Java, MATLAB, etc. thierrymoudiki.github.io/blog/2022/… #Python #DataScience #MachineLearning #rstats #Techtonique
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T. @ Techtonique @teeeeeeeee.bsky.social · 07/10/2026
Probability of receiving a loan; using learningmachine thierrymoudiki.github.io/blog/2024/… #Python #DataScience #MachineLearning #rstats #Techtonique
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T. @ Techtonique @teeeeeeeee.bsky.social · 06/10/2026
nnetsauce's introduction as of 2024-02-11 (new version 0.17.0) thierrymoudiki.github.io/blog/2024/… #Python #DataScience #MachineLearning #rstats #Techtonique
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T. @ Techtonique @teeeeeeeee.bsky.social · 06/10/2026
Maximizing your tip as a waiter thierrymoudiki.github.io/blog/2020/… #Python #DataScience #MachineLearning #rstats #Techtonique
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T. @ Techtonique @teeeeeeeee.bsky.social · 05/10/2026
Python version of Semi-parametric option pricing based on underlying's historical data (accepted at the osQF 2026 (ex R/Finance) conference) thierrymoudiki.github.io/blog/2026/… #Python #DataScience #MachineLearning #rstats #Techtonique
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T. @ Techtonique @teeeeeeeee.bsky.social · 05/10/2026
Forecasting lung disease progression thierrymoudiki.github.io/blog/2020/… #Python #DataScience #MachineLearning #rstats #Techtonique
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T. @ Techtonique @teeeeeeeee.bsky.social · 05/10/2026
Statistical/Machine Learning explainability using Kernel Ridge Regression surrogates thierrymoudiki.github.io/blog/2020/… #Python #DataScience #MachineLearning #rstats #Techtonique
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T. @ Techtonique @teeeeeeeee.bsky.social · 05/10/2026
mlreserve: machine-learning loss reserving on 'real-world' triangles (based on a R's 'ChainLadder' fork) Work in progress thierrymoudiki.github.io/blog/2026/10... #rstats #actuarial
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T. @ Techtonique @teeeeeeeee.bsky.social · 04/10/2026
DeepMTS, a Deep Learning Model for Multivariate Time Series thierrymoudiki.github.io/blog/2024/… #Python #DataScience #MachineLearning #rstats #Techtonique
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T. @ Techtonique @teeeeeeeee.bsky.social · 04/10/2026
ARIMA Pricing: Semi-Parametric Market price of risk for Risk-Neutral Pricing (code + preprint) thierrymoudiki.github.io/blog/2025/… #Python #DataScience #MachineLearning #rstats #Techtonique
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T. @ Techtonique @teeeeeeeee.bsky.social · 04/10/2026
Python version of 'Option pricing using time series models as market price of risk Pt.3' thierrymoudiki.github.io/blog/2026/… #Python #DataScience #MachineLearning #rstats #Techtonique
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T. @ Techtonique @teeeeeeeee.bsky.social · 03/10/2026
Probabilistic Time Series Cross-Validation with R package crossvalidation thierrymoudiki.github.io/blog/2026/… #Python #DataScience #MachineLearning #rstats #Techtonique
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T. @ Techtonique @teeeeeeeee.bsky.social · 03/10/2026
external regressors in ahead::dynrmf's interface for Machine learning forecasting thierrymoudiki.github.io/blog/2025/… #Python #DataScience #MachineLearning #rstats #Techtonique
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T. @ Techtonique @teeeeeeeee.bsky.social · 02/10/2026
Adaptive (online/streaming) learning with uncertainty quantification using Polyak averaging in learningmachine thierrymoudiki.github.io/blog/2024/… #Python #DataScience #MachineLearning #rstats #Techtonique
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T. @ Techtonique @teeeeeeeee.bsky.social · 02/10/2026
New instantaneous short rates models with their deterministic shift adjustment, for historical and risk-neutral simulation thierrymoudiki.github.io/blog/2025/… #Python #DataScience #MachineLearning #rstats #Techtonique
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T. @ Techtonique @teeeeeeeee.bsky.social · 01/10/2026
Conformalized TabICL: Prediction Intervals for a State-Of-The-Art Tabular Foundation Model in Python and R thierrymoudiki.github.io/blog/2026/… #Python #DataScience #MachineLearning #rstats #Techtonique
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T. @ Techtonique @teeeeeeeee.bsky.social · 01/10/2026
AdaOpt (a probabilistic classifier based on a mix of multivariable optimization and nearest neighbors) for R thierrymoudiki.github.io/blog/2020/… #Python #DataScience #MachineLearning #rstats #Techtonique
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T. @ Techtonique @teeeeeeeee.bsky.social · 01/10/2026
Comparing and explaining model predictions with the teller thierrymoudiki.github.io/blog/2019/… #Python #DataScience #MachineLearning #rstats #Techtonique
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T. @ Techtonique @teeeeeeeee.bsky.social · 01/10/2026
Bayesian forecasting for uni/multivariate time series thierrymoudiki.github.io/blog/2020/… #Python #DataScience #MachineLearning #rstats #Techtonique
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T. @ Techtonique @teeeeeeeee.bsky.social · 30/09/2026
Native uncertainty quantification for time series with NGBoost thierrymoudiki.github.io/blog/2025/… #Python #DataScience #MachineLearning #rstats #Techtonique
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T. @ Techtonique @teeeeeeeee.bsky.social · 30/09/2026
Conformalized TabICL: Prediction Intervals for a State-Of-The-Art Tabular Foundation Model in Python and R thierrymoudiki.github.io/blog/2026/… #Python #DataScience #MachineLearning #rstats #Techtonique
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T. @ Techtonique @teeeeeeeee.bsky.social · 30/09/2026
A plethora of datasets at your fingertips Part3: how many times do couples cheat on each other? thierrymoudiki.github.io/blog/2024/… #Python #DataScience #MachineLearning #rstats #Techtonique
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T. @ Techtonique @teeeeeeeee.bsky.social · 29/09/2026
Native uncertainty quantification for time series with NGBoost thierrymoudiki.github.io/blog/2025/… #Python #DataScience #MachineLearning #rstats #Techtonique
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T. @ Techtonique @teeeeeeeee.bsky.social · 29/09/2026
An Overfitting dilemma: XGBoost Default Hyperparameters vs GenericBooster + LinearRegression Default Hyperparameters thierrymoudiki.github.io/blog/2025/… #Python #DataScience #MachineLearning #rstats #Techtonique
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T. @ Techtonique @teeeeeeeee.bsky.social · 29/09/2026
Generating Synthetic Data with R-vine Copulas using esgtoolkit in R thierrymoudiki.github.io/blog/2025/… #Python #DataScience #MachineLearning #rstats #Techtonique
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T. @ Techtonique @teeeeeeeee.bsky.social · 29/09/2026
nnetsauce's introduction as of 2024-02-11 (new version 0.17.0) thierrymoudiki.github.io/blog/2024/… #Python #DataScience #MachineLearning #rstats #Techtonique
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T. @ Techtonique @teeeeeeeee.bsky.social · 28/09/2026
Boosted Configuration (neural) Networks Pt. 2 thierrymoudiki.github.io/blog/2022/… #Python #DataScience #MachineLearning #rstats #Techtonique
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T. @ Techtonique @teeeeeeeee.bsky.social · 28/09/2026
Prediction intervals for nnetsauce models thierrymoudiki.github.io/blog/2019/… #Python #DataScience #MachineLearning #rstats #Techtonique
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T. @ Techtonique @teeeeeeeee.bsky.social · 28/09/2026
rtopy (v0.1.1): calling R functions in Python thierrymoudiki.github.io/blog/2024/… #Python #DataScience #MachineLearning #rstats #Techtonique
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T. @ Techtonique @teeeeeeeee.bsky.social · 28/09/2026
Forecasting benchmark: Dynrmf (a new serious competitor in town) vs Theta Method on M-Competitions and Tourism competitition thierrymoudiki.github.io/blog/2026/… #Python #DataScience #MachineLearning #rstats #Techtonique
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T. @ Techtonique @teeeeeeeee.bsky.social · 27/09/2026
A Machine Learning workflow using Techtonique thierrymoudiki.github.io/blog/2022/… #Python #DataScience #MachineLearning #rstats #Techtonique
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T. @ Techtonique @teeeeeeeee.bsky.social · 27/09/2026
Stock price forecasting with Deep Learning: throwing power at the problem (and why it won't make you rich) thierrymoudiki.github.io/blog/2024/… #Python #DataScience #MachineLearning #rstats #Techtonique
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T. @ Techtonique @teeeeeeeee.bsky.social · 26/09/2026
Maximizing your tip as a waiter thierrymoudiki.github.io/blog/2020/… #Python #DataScience #MachineLearning #rstats #Techtonique
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T. @ Techtonique @teeeeeeeee.bsky.social · 26/09/2026
mlsauce (home to a model-agnostic gradient boosting algorithm) can now be installed from PyPI. thierrymoudiki.github.io/blog/2025/… #Python #DataScience #MachineLearning #rstats #Techtonique
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T. @ Techtonique @teeeeeeeee.bsky.social · 25/09/2026
LSBoost: Explainable 'AI' using Gradient Boosted randomized networks (with examples in R and Python) thierrymoudiki.github.io/blog/2020/… #Python #DataScience #MachineLearning #rstats #Techtonique
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T. @ Techtonique @teeeeeeeee.bsky.social · 25/09/2026
News from ESGtoolkit, ycinterextra, and nnetsauce thierrymoudiki.github.io/blog/2022/… #Python #DataScience #MachineLearning #rstats #Techtonique
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T. @ Techtonique @teeeeeeeee.bsky.social · 24/09/2026
Stacked generalization (Machine Learning model stacking) + conformal prediction for forecasting with ahead::mlf thierrymoudiki.github.io/blog/2025/… #Python #DataScience #MachineLearning #rstats #Techtonique
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T. @ Techtonique @teeeeeeeee.bsky.social · 24/09/2026
A Guide to Using techtonique.net's API and rush for simulating and plotting Stochastic Scenarios thierrymoudiki.github.io/blog/2025/… #Python #DataScience #MachineLearning #rstats #Techtonique
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T. @ Techtonique @teeeeeeeee.bsky.social · 24/09/2026
Prediction intervals (not only) for Boosted Configuration Networks in Python thierrymoudiki.github.io/blog/2022/… #Python #DataScience #MachineLearning #rstats #Techtonique
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T. @ Techtonique @teeeeeeeee.bsky.social · 23/09/2026
A diffusion model: G2++ thierrymoudiki.github.io/blog/2023/… #Python #DataScience #MachineLearning #rstats #Techtonique
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T. @ Techtonique @teeeeeeeee.bsky.social · 23/09/2026
unifiedml in R: A Unified Machine Learning Interface thierrymoudiki.github.io/blog/2025/… #Python #DataScience #MachineLearning #rstats #Techtonique
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