Allen Akinkunle

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  • The Bias-Variance Decomposition Demystified

    07 Nov 2020

    Machine-Learning Statistics

    This 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.

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  • Deriving Machine Learning Cost Functions using Maximum Likelihood Estimation (MLE) - Part II

    31 Mar 2019

    Machine-Learning

    Cross-Entropy Loss - a commonly used cost function for binary classification problems derived using Maximum Likelihood Estimation (MLE)

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  • Deriving Machine Learning Cost Functions using Maximum Likelihood Estimation (MLE) - Part I

    24 Mar 2019

    Machine-Learning

    Mean Squared Error (MSE) - a commonly used cost function for regression problems derived using Maximum Likelihood Estimation (MLE)

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  • dplyr-style Data Manipulation with Pipes in Python

    03 Jan 2018

    Python pandas dplyr Data-Wrangling

    Tutorial on how to write chainable data manipulation code in Python.

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  • Exploratory Analysis of the Washington's Post Police Shooting dataset using R and Plotly

    14 Jul 2016

    R Plotly

    Using R packages to perform exploratory data analysis on Police shooting dataset recorded in the United States.

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