Day12 ML Review - Gradient Descent (2)
Mathematical Explanation
Mathematical Explanation
Basic Concepts, Steps, and Key Consideration
Understanding Gradients in Machine Learning Applications
SSE Sum Squared Error and Choosing Cost Function
Cost Function and MSE Mean Squared Error
Concepts Overview and Mathematical Calculation Exercise
Applications on Machine Learning & Further Explanations
Mathematical Definition & Algorithms
Bayesian Statistics, the Law of Total Probability, and Var-Cov Matrix
Eigendecomposition, Symmetric Matrix, and Eigendecomposition