Writing
5 articles
- 01The Bias-Variance Decomposition DemystifiedThis post provides an intuitive explanation of the bias-variance decomposition. The bias-variance decomposition shows the generalisation error of a learning algorithm as the sum of three terms - bias, variance, and the irreducible error.
- 02Deriving Machine Learning Cost Functions using Maximum Likelihood Estimation (MLE) - Part IICross-Entropy Loss - a commonly used cost function for binary classification problems derived using Maximum Likelihood Estimation (MLE)
- 03Deriving Machine Learning Cost Functions using Maximum Likelihood Estimation (MLE) - Part IMean Squared Error (MSE) - a commonly used cost function for regression problems derived using Maximum Likelihood Estimation (MLE)
- 04dplyr-style Data Manipulation with Pipes in PythonTutorial on how to write chainable data manipulation code in Python.
- 05Exploratory Analysis of the Washington's Post Police Shooting dataset using R and PlotlyUsing R packages to perform exploratory data analysis on Police shooting dataset recorded in the United States.