@teeeeeeeee.bsky.social
tech, stats, machine learning, computer simulation, numerical optimization https://www.techtonique.net/
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Forecasting Monthly Airline Passenger Numbers with Quasi-Randomized Neural Networks
https://thierrymoudiki.github.io/blog/2024/06/17/python/quasirandomizednn/forecasting/nnetsauce-airpassengers
#Techtonique #DataScience #Python #rstats #MachineLearning
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How long must I wait until something happens: A Comprehensive Guide to Survival Analysis via an API
https://thierrymoudiki.github.io/blog/2025/05/27/r/python/survival-curves-techtonique-API
#Techtonique #DataScience #Python #rstats #MachineLearning
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Introducing the teller
https://thierrymoudiki.github.io/blog/2019/11/01/explainableml/the-teller-1
#Techtonique #DataScience #Python #rstats #MachineLearning
New version of mlsauce, with Gradient Boosted randomized networks and stump decision trees
https://thierrymoudiki.github.io/blog/2020/07/03/misc/mlsauce/mlsauce-new
#Techtonique #DataScience #Python #rstats #MachineLearning
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Forecasting Monthly Airline Passenger Numbers with Quasi-Randomized Neural Networks
https://thierrymoudiki.github.io/blog/2024/06/17/python/quasirandomizednn/forecasting/nnetsauce-airpassengers
#Techtonique #DataScience #Python #rstats #MachineLearning
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mlsauce version 0.8.10: Statistical/Machine Learning with Python and R
https://thierrymoudiki.github.io/blog/2023/11/05/python/r/adaopt/lsboost/mlsauce_classification
#Techtonique #DataScience #Python #rstats #MachineLearning
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Grid search cross-validation using crossval
https://thierrymoudiki.github.io/blog/2020/04/10/r/misc/grid-search-crossval
#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
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rtopy (v0.1.1): calling R functions in Python
https://thierrymoudiki.github.io/blog/2024/03/04/python/r/rtopyintro
#Techtonique #DataScience #Python #rstats #MachineLearning
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nnetsauce version 0.5.0, randomized neural networks on GPU
https://thierrymoudiki.github.io/blog/2020/07/17/python/r/quasirandomizednn/nnetsauce-new-version
#Techtonique #DataScience #Python #rstats #MachineLearning
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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
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Submitting R package to CRAN
https://thierrymoudiki.github.io/blog/2020/10/16/r/esgtoolkit-new-cran
#Techtonique #DataScience #Python #rstats #MachineLearning
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Risk-neutralize simulations
https://thierrymoudiki.github.io/blog/2023/09/04/r/misc/ahead-neutralize
#Techtonique #DataScience #Python #rstats #MachineLearning
New nnetsauce
https://thierrymoudiki.github.io/blog/2020/09/25/misc/quasirandomizednn/nnetsauce-new
#Techtonique #DataScience #Python #rstats #MachineLearning
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Classify penguins with nnetsauce's MultitaskClassifier
https://thierrymoudiki.github.io/blog/2020/12/11/r/quasirandomizednn/classify-penguins-nnetsauce
#Techtonique #DataScience #Python #rstats #MachineLearning
crossval
https://thierrymoudiki.github.io/blog/2019/03/13/r/crossval
#Techtonique #DataScience #Python #rstats #MachineLearning
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News from ESGtoolkit, ycinterextra, and nnetsauce
https://thierrymoudiki.github.io/blog/2022/04/04/python/r/misc/packages-news
#Techtonique #DataScience #Python #rstats #MachineLearning
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An infinity of time series forecasting models in nnetsauce (Part 2 with uncertainty quantification)
https://thierrymoudiki.github.io/blog/2023/09/25/python/forecasting/quasirandomizednn/nnetsauce-mts
#Techtonique #DataScience #Python #rstats #MachineLearning
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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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Presenting 'Online Probabilistic Estimation of Carbon Beta and Carbon Shapley Values for Financial and Climate Risk' at Institut Louis Bachelier
https://thierrymoudiki.github.io/blog/2025/02/27/python/r/forecasting/carbon-beta
#Techtonique #DataScience #Python #rstats #MachineLearning
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Model-agnostic 'Bayesian' optimization (for hyperparameter tuning) using conformalized surrogates in GPopt
https://thierrymoudiki.github.io/blog/2024/12/09/python/bayesconfoptim
#Techtonique #DataScience #Python #rstats #MachineLearning
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Gradient-Boosting anything (alert: high performance): Part4, Time series forecasting
https://thierrymoudiki.github.io/blog/2024/11/10/python/r/quasirandomizednn/genboosting-mts
#Techtonique #DataScience #Python #rstats #MachineLearning
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Documentation and source code for GPopt, a package for Bayesian optimization
https://thierrymoudiki.github.io/blog/2021/07/02/python/misc/docs-gpopt
#Techtonique #DataScience #Python #rstats #MachineLearning
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Grid search cross-validation using crossval
https://thierrymoudiki.github.io/blog/2020/04/10/r/misc/grid-search-crossval
#Techtonique #DataScience #Python #rstats #MachineLearning
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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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nnetsauce for R
https://thierrymoudiki.github.io/blog/2020/01/31/r/quasirandomizednn/nnetsauce-R-1
#Techtonique #DataScience #Python #rstats #MachineLearning
Conformalize (improved prediction intervals and simulations) any R Machine Learning model with misc::conformalize
https://thierrymoudiki.github.io/blog/2025/03/25/r/conformalize-R
#Techtonique #DataScience #Python #rstats #MachineLearning
Techtonique is out! (with a tutorial in various programming languages and formats)
https://thierrymoudiki.github.io/blog/2025/01/14/r/forecasting/python/misc/techtonique/techtonique-out
#Techtonique #DataScience #Python #rstats #MachineLearning
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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
2019 Recap, the nnetsauce, the teller and the querier
https://thierrymoudiki.github.io/blog/2019/12/20/databases/quasirandomizednn/explainableml/recap-1
#Techtonique #DataScience #Python #rstats #MachineLearning
