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Linear Algebra
Matrix Determinant Calculation
Statistical Techniques in ML
Implement χ² Test for Categorical Feature Analysis
Deep Learning
Implement Cross-Entropy Loss
Tree-based Models
Optimal Split Point Finding for Continuous Feature Handling
Statistical Techniques in ML
Compute Confidence Intervals for ML Evaluation Results Using Bootstrap
Data Processing
Memory-Mapped Dataset Iterator for Large Files
Linear Algebra
Sparse Vector-Vector Multiplication
Probability
Implement rand0N Using rand02