Machine Learning Pills
David AndrésWeekly pill-sized articles on key AI, Machine Learning and Data Science concepts.
| Platform |  | Pricing | Freemium | Publishes | Twice weekly |
|---|---|---|---|---|---|
| Issues | 178 | Founded | 3 years ago | Last Issue | 10 days ago |
| Active | |||||
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mlpills.substack.comLatest Issues
Issue #131 - Build an Agent in LangChain
LangChain’s new is the simplest way to spin up a production-ready ReAct agent on top of LangGraph. One function call, and you get the full reasoning + acting loop, tool execution, and state management out of the box.
💊 Pill of the week
Weekly Dose #1 - AI’s Next Battlefield Isn’t Models. It’s Systems
📰The Weekly Dose
Welcome to the Weekly Dose: your 5-minute breakdown of the AI/ML news that changed how us builders should think this week.
This first edition covers 30 April to 7 May 2026. No stale benchmark victory laps. No “this mi...
Extra #10 - The Regression Playbook Part 2 (code)
As we said in the previous issue, regression is one of the most fundamental problems in machine learning: given some inputs, predict a number.
Part 1 covered the foundations: linear models, trees, forests, and nearest neighbours. Part 2 ge...
Issue #130 - The Regression Playbook Part 2
In Part 1 we walked through Linear, Stochastic, Decision Tree, Random Forest, and k-Nearest Neighbor regression: five algorithms that cover the classical foundations of regression modeling. Today I’m covering the remaining four, and then ty...
Extra #9 - The Regression Playbook Part 1 (code)
Regression is one of the most fundamental problems in machine learning: given some inputs, predict a number. How many units will we sell? What will this house cost? How hot will it be tomorrow?
There’s no shortage of algorithms that can an...
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\ud83d\udcbc Senior AI Engineer / Data Scientist • \ud83d\udc0d Python enthusiast
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