Machine Learning
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A/B Testing
Quick Definition
Statistical method comparing two versions for performance
Full Definition
A statistical method comparing two versions to determine which performs better against a defined metric.
Examples
web page optimization, feature comparison, conversion testing
Related Terms
experiment-design
hypothesis-testing
More Machine Learning Terms
LightGBM
Fast gradient boosting framework using histogram splitting
Self-Supervised Learning
Generating supervisory signals from unlabeled data for training
Dropout
Regularization randomly deactivating neurons during training
Underfitting
When a model is too simple to capture data patterns
Machine Learning
AI subset where systems learn patterns from data
Decision Tree
Tree-like model splitting data based on feature values