Principal Component Analysis
Principal component analysis is the process of computing the principal components for multivariate data points. The principal components can be used to help simplify the analysis by reducing the number...
Bayesian Statistics and Naive Bayes Classifiers
Bayesian statistics is an approach in statistics where probability is interpreted as a degree in belief in an event. The probability of event \(A\) happening given \(B\) is true can...
Moore-Penrose Inverse
I got introduced to the Moore-Penrose inverse, also known as pseudoinverse or generalized inverse, in an internal sharing session at my company’s engineering meeting. Since I haven’t really heard about...
Riemann Zeta Function
The zeta function, which is commonly known as the Riemann zeta function, is defined as follows. \[\zeta (s) = \sum_{n = 1}^{\infty} \frac{1}{n^s}\] The zeta function’s Dirichlet series will converge...
Revisiting Alkali Metals
This is a note on alkali metals. I actually haven’t visited chemistry much since graduating high school back in 2009, but recently when I look for science experiment demonstration videos...