<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Allen Akin</title><description>Writing on mathematics, technology, building, and life.</description><link>https://allenkunle.me/</link><item><title>The Spreadsheet Is Already a Product</title><link>https://allenkunle.me/the-spreadsheet-is-already-a-product/</link><guid isPermaLink="true">https://allenkunle.me/the-spreadsheet-is-already-a-product/</guid><description>A sample essay about finding the real product hiding inside a team&apos;s operational spreadsheet.</description><pubDate>Tue, 22 Sep 2026 00:00:00 GMT</pubDate><category>Sample</category><category>Product</category></item><item><title>The Value of Paying Attention</title><link>https://allenkunle.me/the-value-of-paying-attention/</link><guid isPermaLink="true">https://allenkunle.me/the-value-of-paying-attention/</guid><description>A sample personal essay about attention, observation, and making room for what usually passes unnoticed.</description><pubDate>Fri, 18 Sep 2026 00:00:00 GMT</pubDate><category>Sample</category><category>Attention</category></item><item><title>What I Mean by Useful AI</title><link>https://allenkunle.me/what-i-mean-by-useful-ai/</link><guid isPermaLink="true">https://allenkunle.me/what-i-mean-by-useful-ai/</guid><description>A sample note on designing AI around accountable decisions rather than impressive demonstrations.</description><pubDate>Mon, 14 Sep 2026 00:00:00 GMT</pubDate><category>Sample</category><category>AI</category></item><item><title>Building in Chapters</title><link>https://allenkunle.me/building-in-chapters/</link><guid isPermaLink="true">https://allenkunle.me/building-in-chapters/</guid><description>A sample reflection on careers, companies, and allowing the next chapter to revise the last one.</description><pubDate>Thu, 10 Sep 2026 00:00:00 GMT</pubDate><category>Sample</category><category>Building</category></item><item><title>Software for the Work Between Systems</title><link>https://allenkunle.me/software-for-the-work-between-systems/</link><guid isPermaLink="true">https://allenkunle.me/software-for-the-work-between-systems/</guid><description>A sample field note about the handoffs, reconciliations, and exceptions where operational products earn trust.</description><pubDate>Thu, 03 Sep 2026 00:00:00 GMT</pubDate><category>Sample</category><category>Operations</category></item><item><title>What I Keep on the Desk</title><link>https://allenkunle.me/what-i-keep-on-the-desk/</link><guid isPermaLink="true">https://allenkunle.me/what-i-keep-on-the-desk/</guid><description>A sample notebook entry about the objects, sounds, and small rituals that surround creative work.</description><pubDate>Fri, 28 Aug 2026 00:00:00 GMT</pubDate><category>Sample</category><category>Notebook</category></item><item><title>The Bias-Variance Decomposition Demystified</title><link>https://allenkunle.me/bias-variance-decomposition/</link><guid isPermaLink="true">https://allenkunle.me/bias-variance-decomposition/</guid><description>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.</description><pubDate>Sat, 07 Nov 2020 00:00:00 GMT</pubDate><category>Machine-Learning</category><category>Statistics</category></item><item><title>Deriving Machine Learning Cost Functions using Maximum Likelihood Estimation (MLE) - Part II</title><link>https://allenkunle.me/deriving-ml-cost-functions-part2/</link><guid isPermaLink="true">https://allenkunle.me/deriving-ml-cost-functions-part2/</guid><description>Cross-Entropy Loss - a commonly used cost function for binary classification problems derived using Maximum Likelihood Estimation (MLE)</description><pubDate>Sun, 31 Mar 2019 00:00:00 GMT</pubDate><category>Machine-Learning</category></item><item><title>Deriving Machine Learning Cost Functions using Maximum Likelihood Estimation (MLE) - Part I</title><link>https://allenkunle.me/deriving-ml-cost-functions-part1/</link><guid isPermaLink="true">https://allenkunle.me/deriving-ml-cost-functions-part1/</guid><description>Mean Squared Error (MSE) - a commonly used cost function for regression problems derived using Maximum Likelihood Estimation (MLE)</description><pubDate>Sun, 24 Mar 2019 00:00:00 GMT</pubDate><category>Machine-Learning</category></item><item><title>dplyr-style Data Manipulation with Pipes in Python</title><link>https://allenkunle.me/dplyr-style-data-manipulation-in-python/</link><guid isPermaLink="true">https://allenkunle.me/dplyr-style-data-manipulation-in-python/</guid><description>Tutorial on how to write chainable data manipulation code in Python.</description><pubDate>Wed, 03 Jan 2018 00:00:00 GMT</pubDate><category>Python</category><category>pandas</category><category>dplyr</category><category>Data-Wrangling</category></item><item><title>Exploratory Analysis of the Washington&apos;s Post Police Shooting dataset using R and Plotly</title><link>https://allenkunle.me/exploratory-analysis-police-shooting/</link><guid isPermaLink="true">https://allenkunle.me/exploratory-analysis-police-shooting/</guid><description>Using R packages to perform exploratory data analysis on Police shooting dataset recorded in the United States.</description><pubDate>Thu, 14 Jul 2016 00:00:00 GMT</pubDate><category>R</category><category>Plotly</category></item></channel></rss>