From Eigendecomposition to Determinant: Fundamental Mathematics for Machine Learning with Intuitive Examples Part 3/3

For understanding the mathematics for machine learning algorithms, especially deep learning algorithms, it is essential to build up the mathematical concepts from foundational to more advanced. Unfortunately, Mathematical theories are too hard/abstract/dry to digest in many cases. Imagine you are eating a pizza, it is always easier and more fun to go with a coke.