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T. @ Techtonique

@teeeeeeeee.bsky.social

89 followers 14 following 4.8K posts

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

Posts Replies Media

T. @ Techtonique @teeeeeeeee.bsky.social · 3h

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 · 12h

Techtonique dot net, the Machine Learning web API, is back online (but more like a passion project for now) thierrymoudiki.github.io/blog/2026/… #Python #DataScience #MachineLearning #rstats #Techtonique

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T. @ Techtonique @teeeeeeeee.bsky.social · 18h

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 · 21h

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 · 04/10/2026

'PCARVFLSimulator': a GAN-like tabular data synthesizer built from PCA scores, a Random Vector Functional-Link network, and residuals bootstrapping thierrymoudiki.github.io/blog/2026/… #Python #DataScience #MachineLearning #rstats #Techtonique

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 · 03/10/2026

Extending the Theta forecasting method to GLMs, GAMs, GLMBOOST and attention: benchmarking on Tourism, M1, M3 and M4 competition data sets (28000 series) thierrymoudiki.github.io/blog/2025/… #Python #DataScience #MachineLearning #rstats #Techtonique

T. @ Techtonique @teeeeeeeee.bsky.social · 02/10/2026

My last R posts: How conformalization helps weak models, fast conformal prediction with jackknife+ (and no refitting), and sklearn in R thierrymoudiki.github.io/blog/2026/… #Python #DataScience #MachineLearning #rstats #Techtonique

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

Tuning Machine Learning models with GPopt's new version Part 2 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

Feedback forms for contributing 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 · 27/09/2026

Analyzing Paper Reviews with LLMs: I Used ChatGPT, DeepSeek, Qwen, Mistral, Gemini, and Claude (and you should too + publish the analysis) thierrymoudiki.github.io/blog/2025/… #Python #DataScience #MachineLearning #rstats #Techtonique

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T. @ Techtonique @teeeeeeeee.bsky.social · 26/09/2026

Conformalized predictive simulations for univariate time series on more than 250 data sets thierrymoudiki.github.io/blog/2024/… #Python #DataScience #MachineLearning #rstats #Techtonique

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

Transfer Learning using ahead::ridge2f on synthetic stocks returns Pt.2: synthetic data generation thierrymoudiki.github.io/blog/2025/… #Python #DataScience #MachineLearning #rstats #Techtonique

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

`crossvalidation` on R-universe, plus a classification example thierrymoudiki.github.io/blog/2021/… #Python #DataScience #MachineLearning #rstats #Techtonique

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T. @ Techtonique @teeeeeeeee.bsky.social · 25/09/2026

Extending the Theta forecasting method to GLMs, GAMs, GLMBOOST and attention: benchmarking on Tourism, M1, M3 and M4 competition data sets (28000 series) thierrymoudiki.github.io/blog/2025/… #Python #DataScience #MachineLearning #rstats #Techtonique

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

Boosted Configuration (_neural_) Networks for classification thierrymoudiki.github.io/blog/2022/… #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

nnetsauce for R thierrymoudiki.github.io/blog/2020/… #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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T. @ Techtonique @teeeeeeeee.bsky.social · 23/09/2026

Tests for the significance of marginal effects in the teller thierrymoudiki.github.io/blog/2019/… #Python #DataScience #MachineLearning #rstats #Techtonique

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T. @ Techtonique @teeeeeeeee.bsky.social · 22/09/2026

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 · 22/09/2026

Comments section and other news thierrymoudiki.github.io/blog/2020/… #Python #DataScience #MachineLearning #rstats #Techtonique

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