Gabriele Scheler·1d agoWhat to optimize forI have been upset about the idea of the “predictive brain” multiple times. Now we have to make a distinction between the idea that…
Sarathc·Oct 22How Many Eval Items Do You Need? Error Bars, Paired Tests, and Power Analysis for LLM EvalsAI-assisted; reviewed and fact-checked by the author.A response icon2A response icon2
Discindo·Oct 20ParBayesianOptimization 1.4.2After the back to CRAN release of ParBayesianOptimization v1.4.2 is the first release that reaches users with some new features.
Max Kleiner·Oct 19Behind the Confusion MatrixStudy Guide: Person A’s 9-Person Social Confusion Matrix & Performance Metrics, Tutorial 203A response icon1A response icon1
Max Kleiner·Sep 29From Bayes Theorem to Confusion MatrixA confusion matrix supplies empirical counts of errors, while Bayes’ theorem explains how those error rates and the class prevalence…A response icon2A response icon2
Ravi Kumar·Sep 29Bayesian Regression with Aviation DataHello Fellas, this is going to be Part 3 of a series called “Bayesian statistics & optimization for aviation” using realtime example.
Taha Soylu·Sep 24Hyperparameter TuningWe train our models with different parameters. But we do not know which value is more effective. Hyperparameter Tuning helps us identify…
InCoding NexusbyAlgo Insights·Sep 7Bayesian Time-Series Modeling in Python with bayesloopMost time-series models make a simplifying assumption: the parameters that describe the data stay constant.
Gulesehar khan·Aug 23I built a machine learning pipeline with scikit-learn, SHAP and MLflow in one afternoon — the…Most ML tutorials stop at model training. This one goes all the way — from raw data to tracked experiments, explainable predictions, and a…
