Benjamin VanousThe Process of PCAThis article serves as an overview of the mathematics behind Principal Component Analysis, otherwise known as PCA.Jun 26, 2023Jun 26, 2023
Benjamin VanousProjections of subspacesProjections onto 1-Dimentional and N-Dimentional subspacesJun 5, 2023Jun 5, 2023
Benjamin VanousBasic Statistical EquationsThis article serves as a brief summary to some of the most commonly used statistical equations.May 21, 2023May 21, 2023
Benjamin VanousCalculus for Machine Learning: Types of Gradient DescentThis article serves as an overview of some of the most popular types of gradient descent used in machine learning. Before we dive into the…Dec 13, 2022Dec 13, 2022
Benjamin VanousCalculus for Machine Learning: Cost FunctionsIn this article I’ll be talking about cost functions in relation to regression problems. This will go into what they are, how they help us…Dec 5, 2022Dec 5, 2022
Benjamin VanousCalculus for Machine Learning: Gradient DescentGradient descent, being one of the most popular methods used to for optimizations, is very important in the realm of Machine learning…Nov 30, 20221Nov 30, 20221
Benjamin VanousCalculus for Machine Learning: Iterative Root-finding AlgorithmsWhat are Root-finding algorithms?Nov 16, 2022Nov 16, 2022
Benjamin VanousCalculus for Machine Learning: Multivariate Taylor SeriesIn this article I’ll be building off some of the concepts I’ve previously talked about within this series, and will quickly be going over…Nov 11, 2022Nov 11, 2022
Benjamin VanousCalculus for Machine Learning: Error in aproximationsI previously made an article on Taylor series here, in which I discussed how the equation works as well as its use cases. In this article…Nov 4, 2022Nov 4, 2022
Benjamin VanousCalculus for Machine Learning: Taylor SeriesIn this article I’ll be writing about a helpful method reffered to as the Taylor series, and with it I’ll be utilizing some of the methods…Oct 13, 20222Oct 13, 20222