~/ml/math

2024

04-13 Information Theory
04-12 Maximum A Posteriori
04-12 Maximum Likelihood Estimation
04-11 Uniform and Normal Distribution
04-11 Mean and Variance
04-11 Random Variable and Probability Distribution
04-10 Vector derivative respect to Matrix
04-10 Matrix derivative respect to Matrix
04-09 Scalar derivative respect to Matrix
04-08 Vector derivative respect to vector (Chain Rule)
04-08 Vector derivative respect to vector
04-07 Gradients
04-06 Scalar derivative respect to vector
04-05 MacClaurin & Taylor Expansion
04-04 Partial Derivative
04-04 Chain Rule
04-04 Derivative
04-03 Limits
04-02 Transpose & Dot Product
04-02 Vector & Matrix
04-01 Logarithmic Function
04-01 Function