Machine Learning, Deep Learning, Neural Networks, Programming, Linear Algebra.
The last topic of this article is Principle Component Analysis (PCA.) PCA is used to reduce the dimensions of a dataset whilst minimising the amount of information lost. PCA is a nice example of eigendecomposition and some of the other things we have learnt about in this article. Enjoy! Thanks for