2024
- 29 May Useful custom R functions
- 24 Apr Linux Binaries
- 26 Feb Matrix Norms
- 26 Feb Matrix and Vector norm inequalities
- 25 Feb Optimisation foundations
- 19 Feb R Cheat Sheet
- 19 Feb Collinearity and Confounding
- 14 Feb Projections
- 14 Feb Orthogonal Matrices
- 13 Feb Linear Regression - Diagnostic Plots
- 13 Feb Weighted Least Squares
- 11 Feb Vector Databases
- 02 Feb Model Performance
2023
- 12 Sep Multi-label classification
- 16 Jun Lasso
- 12 Jun Factor Models
- 27 Apr MCMC
- 11 Mar Reproducing Kernel Hilbert Space - RKHS
- 08 Mar Linear Regression
- 24 Feb Biplots
- 16 Feb Linux Commands
- 10 Feb Why do we need Measure Theory
- 06 Feb Kernel PCA
- 29 Jan PCA - Plots
- 29 Jan PCA - Solution
- 28 Jan linux aliases
- 28 Jan pandoc md file to pdf
- 20 Jan PCA - Definitions
- 18 Jan Duality
- 12 Jan Using Overleaf as a Remote Repository
- 09 Jan Support Vector Regression
- 09 Jan Support Vector Machines
- 09 Jan Creating an R Package - Cheat Sheet
- 06 Jan Gaussian Graphical Model
- 05 Jan First year PhD, machine learning notes
- 03 Jan Git Commands - Cheat Sheet
- 02 Jan Scheduling an R Script - GitHub Actions
- 02 Jan Matrix Decompositions
- 02 Jan Eigenvectors
- 01 Jan Linear Algebra Foundations