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Overview
Machine Learning
Basic Concepts
Data
Model
Model Overview
Linear and Logistic Regression
Bayes' Theorem and Naive Bayes
k-Means Clustering
Principal Component Analysis (PCA)
Support Vector Machines
Tree-based Methods
Ensemble Learning
Training
Evaluation
Home
Docs
Machine Learning
Training
Training
Key topics:
Optimizers and schedules; convergence diagnostics.
Regularization and augmentation strategies.
Reproducibility: seeds, determinism, and logging.
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Ensemble Learning
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Evaluation