Comparing things: The Bayesian approach, by Michał Oleszak
Descrição
Randomized experiments & causality
Non-linear regression: basis expansion, polynomials & splines, by Michał Oleszak
SVM Kernels: What Do They Actually Do?, by Michał Oleszak
Drift in Machine Learning: How to Identify Issues Before You Have a Problem
List: Py causal ML, Curated by Ivano Bison
A/B testing
SMBI Ch1 - Introduction to Bayesian Statistics, PDF, Statistical Inference
Not-so-naive Bayes. Improved Bayesian classifier.
How to Detect Data Drift with Hypothesis Testing
Instrumental variables & causality.
How to Detect Data Drift with Hypothesis Testing, by Michał Oleszak
Self-Supervised Learning in Computer Vision
Estimating Performance of Regression Models Without Ground-Truth, by Michał Oleszak
Comparison of Bayesian and Frequentist Methods For Prevalence Estimation Under Misclassification, PDF, Confidence Interval
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