Mathematical Background

Probability and Statistics

• Random variable
• Normalization
• Central Limit Theorem
• Sampling
• Hypotheses

Linear Algebra

• Vector and Tensor Algebra
• Transformation and Reduction of Matrices : A group of vectors
• Eigenvectors and Principal Component Analysis

Algorithm Analysis

• Time and Space Complexity