Day10 ML Review - Gradient
Understanding Gradients in Machine Learning Applications
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Day09 ML Review - Linear Regression (3)
SSE Sum Squared Error and Choosing Cost Function
Day08 ML Review - Linear Regression (2)
Cost Function and MSE Mean Squared Error
Day07 ML Review - Linear Regression (1)
Concepts Overview and Mathematical Calculation Exercise
Day06 ML Review - Principle Component Analysis (2)
Applications on Machine Learning & Further Explanations
Day05 ML Review - Principle Component Analysis (1)
Mathematical Definition & Algorithms
Day04 Basic Mathematics Review (4)
Bayesian Statistics, the Law of Total Probability, and Var-Cov Matrix
Day03 Basic Mathematics Review (3)
Eigendecomposition, Symmetric Matrix, and Eigendecomposition
Day02 Basic Mathematics Review (2)
Norm(2), Eigenvectors and Eigenvalues
Day01 Basic Mathematics Review (1)
Scalar, Norm, Matrix (Inverse, Basic Functions), Rank