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T. @ Techtonique
@teeeeeeeee.bsky.social
57 followers 14 following 3.9K posts
tech, stats, machine learning, computer simulation, numerical optimization

https://www.techtonique.net/
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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
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November 25, 2025 at 2:24 PM
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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
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November 25, 2025 at 2:20 PM
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Prediction intervals (not only) for Boosted Configuration Networks in Python

https://thierrymoudiki.github.io/blog/2022/10/05/python/explainableml/interpretation-and-PI-for-BCN

#Techtonique #DataScience #Python #rstats #MachineLearning
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November 25, 2025 at 11:26 AM
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Technical documentation

https://thierrymoudiki.github.io/blog/2020/09/18/misc/python/quasirandomizednn/databases/mlsauce/explainableml/techtonique-website

#Techtonique #DataScience #Python #rstats #MachineLearning
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November 25, 2025 at 11:12 AM
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Adaboost learning with nnetsauce

https://thierrymoudiki.github.io/blog/2019/09/18/quasirandomizednn/nnetsauce-adaboost-1

#Techtonique #DataScience #Python #rstats #MachineLearning
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November 25, 2025 at 8:15 AM
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AdaOpt

https://thierrymoudiki.github.io/blog/2020/05/15/python/adaopt/mlsauce/adaopt-classifier-1

#Techtonique #DataScience #Python #rstats #MachineLearning
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November 24, 2025 at 10:25 PM
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Documentation for the querier, a query language for Data Frames

https://thierrymoudiki.github.io/blog/2020/04/03/databases/python/the-querier-5

#Techtonique #DataScience #Python #rstats #MachineLearning
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November 24, 2025 at 10:25 PM
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Quick/automated R package development workflow (assuming you're using macOS or Linux) Part2

https://thierrymoudiki.github.io/blog/2024/08/30/r/makefile-r-pkg2

#Techtonique #DataScience #Python #rstats #MachineLearning
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November 24, 2025 at 9:40 PM
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learningmachine for Python (new version)

https://thierrymoudiki.github.io/blog/2024/07/15/python/learningmachine-python

#Techtonique #DataScience #Python #rstats #MachineLearning
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November 24, 2025 at 9:20 PM
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Multiple examples of Machine Learning forecasting with ahead

https://thierrymoudiki.github.io/blog/2024/03/11/r/preds

#Techtonique #DataScience #Python #rstats #MachineLearning
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November 24, 2025 at 9:17 PM
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Git/Github for contributing to package development

https://thierrymoudiki.github.io/blog/2020/02/14/misc/git-github

#Techtonique #DataScience #Python #rstats #MachineLearning
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November 24, 2025 at 8:34 PM
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Maximizing your tip as a waiter

https://thierrymoudiki.github.io/blog/2020/06/05/python/r/misc/databases/mlsauce/target-encoder-correlation-2

#Techtonique #DataScience #Python #rstats #MachineLearning
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November 24, 2025 at 7:40 PM
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Explaining a Keras _neural_ network predictions with the-teller

https://thierrymoudiki.github.io/blog/2022/03/11/python/explainableml/teller-keras-explainer

#Techtonique #DataScience #Python #rstats #MachineLearning
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November 24, 2025 at 5:34 PM
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Forecasting with XGBoost embedded in Quasi-Randomized Neural Networks

https://thierrymoudiki.github.io/blog/2024/06/24/python/quasirandomizednn/forecasting/nnetsauce-mts-boost

#Techtonique #DataScience #Python #rstats #MachineLearning
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November 24, 2025 at 5:01 PM
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Bayesian (nonlinear) adaptive learning

https://thierrymoudiki.github.io/blog/2024/08/12/r/bqrvfl

#Techtonique #DataScience #Python #rstats #MachineLearning
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November 24, 2025 at 11:25 AM
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Beyond ARMA-GARCH: leveraging any statistical model for volatility forecasting

https://thierrymoudiki.github.io/blog/2025/06/21/r/python/beyond-garch-statistical

#Techtonique #DataScience #Python #rstats #MachineLearning
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November 24, 2025 at 11:05 AM
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Time series cross-validation using crossval

https://thierrymoudiki.github.io/blog/2020/03/27/r/misc/crossval-2

#Techtonique #DataScience #Python #rstats #MachineLearning
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November 24, 2025 at 8:15 AM
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Harnessing the Power of techtonique.net: A Comprehensive Guide to Machine Learning Classification via an API

https://thierrymoudiki.github.io/blog/2025/05/26/r/python/api-calls-techtonique

#Techtonique #DataScience #Python #rstats #MachineLearning
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November 24, 2025 at 8:15 AM
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unifiedml: A Unified Machine Learning Interface for R, is now on CRAN + Discussion about AI replacing humans

https://thierrymoudiki.github.io/blog/2025/11/16/r/unifiedml

#Techtonique #DataScience #Python #rstats #MachineLearning
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November 23, 2025 at 10:55 PM
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(News from) forecasting in Python with ahead (progress bars and plots)

https://thierrymoudiki.github.io/blog/2023/09/18/python/forecasting/ahead-python-progress-plots

#Techtonique #DataScience #Python #rstats #MachineLearning
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November 23, 2025 at 10:51 PM
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Model calibration with `crossval`

https://thierrymoudiki.github.io/blog/2019/10/04/r/crossval-1

#Techtonique #DataScience #Python #rstats #MachineLearning
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November 23, 2025 at 10:08 PM
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Backpropagating quasi-randomized neural networks

https://thierrymoudiki.github.io/blog/2025/06/23/python/backprop-qrnn

#Techtonique #DataScience #Python #rstats #MachineLearning
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November 23, 2025 at 10:05 PM
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Comparing and explaining model predictions with the teller

https://thierrymoudiki.github.io/blog/2019/11/15/explainableml/the-teller-3

#Techtonique #DataScience #Python #rstats #MachineLearning
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November 23, 2025 at 9:13 PM
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Forecasting with `ahead`

https://thierrymoudiki.github.io/blog/2021/10/15/r/misc/ahead-intro

#Techtonique #DataScience #Python #rstats #MachineLearning
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November 23, 2025 at 9:12 PM
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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
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November 23, 2025 at 8:13 PM