HeyJaredMachine Learning Pills
Weekly pill-sized articles on key AI, Machine Learning and Data Science concepts.
- Indexed issues, last 90 days
- 19
- Latest publication
- Sep 30, 2026
- Audience
- Checking…
- Earliest in this view
- Aug 8, 2026
Latest issues
#3 - An Animated Guide to Reading Box Plots (and Why the Median Wins) (opens the original)
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When someone says “the average salary is 50k”, what does that really tell you?In this animated explainer, we start with nine friends on a seesaw and end up reading box plots like a pro. Along the way… Read more
Issue #142 - Data Leakage: When Historical Data Gives Your Model an Unfair Advantage (opens the original)
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💊 Pill of the WeekWhy a clean historical dataset can give your ML model an unfair advantageImagine you build a model to decide which subscription price to show a user. You train it on historical data, test it on a later period, and get a great result. The model seems ready to launch.<div
#2 - An Animated Guide to Decision Trees (opens the original)
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How does a machine learn to make decisions? By asking the right questions, in the right order.In this short animated explainer, we build a decision tree from scratch to predict which students pass an exam. Along the way, we see why the “best” tree isn’t always the biggest one.Along the way we cover:The anatomy of a tree: root node, branches, internal nodes and leaves (and why data science trees grow upside down)Features and labels, using ten students who either studied, slept well, both or neith
Weekly Dose #20 - The AI Stack Is Changing Faster Than the Models (opens the original)
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📰 The Weekly DoseWelcome back to the Weekly Dose: your 5-minute breakdown of the AI/ML news that changed how we builders should think this week.This edition covers 20 September to 27 September 2026, up to publication time. No recycled stories from last week. Just five developments that affect how you build, deploy, secure, or evaluate AI systems.This week: OpenAI repriced its workhorse models, Qwen released an unusually practical image model with a license catch, an MCP survey exposed a governan
An Animated Guide to Causal Inference (opens the original)
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Did the tutoring program raise exam scores, or does it just look that way?In this short animated explainer, we start with a simple comparison that seems to show tutoring works. Then we find out why that comparison can fool us.Along the way we cover:Potential outcomes, and why each student has two possible scoresThe fundamental problem of causal inference: we only ever see one of themThe average treatment effect (ATE), and why the naive comparison equals the effect on the treated plus selection b
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