📌 Correlation vs. Causation: Measuring True Impact with Propensity Score Matching

🗂 Category: DATA SCIENCE

🕒 Date: 2026-04-22 | ⏱️ Read time: 12 min read

Learn how Propensity Score Matching uncovers true causality in observational data. By finding “statistical twins,”…

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📌 From Ad Hoc Prompting to Repeatable AI Workflows with Claude Code Skills

🗂 Category: AGENTIC AI

🕒 Date: 2026-04-22 | ⏱️ Read time: 8 min read

How I turned LLM persona interviews into a repeatable customer research workflow

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📌 Ivory Tower Notes: The Methodology

🗂 Category: DATA SCIENCE

🕒 Date: 2026-04-22 | ⏱️ Read time: 6 min read

A short intro to scientific methodology to combat “prompt in, slop out”

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📌 How to Run OpenClaw with Open-Source Models

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2026-04-22 | ⏱️ Read time: 8 min read

Run OpenClaw assistant through alternative LLMs

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📌 Using a Local LLM as a Zero-Shot Classifier

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2026-04-23 | ⏱️ Read time: 8 min read

A practical pipeline for classifying messy free-text data into meaningful categories using a locally hosted…

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📌 I Simulated an International Supply Chain and Let OpenClaw Monitor It

🗂 Category: AGENTIC AI

🕒 Date: 2026-04-23 | ⏱️ Read time: 9 min read

Mario asked me why 18% of his shipments were late when every team hit their…

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📌 Your Synthetic Data Passed Every Test and Still Broke Your Model

🗂 Category: DATA SCIENCE

🕒 Date: 2026-04-23 | ⏱️ Read time: 11 min read

The silent gaps in synthetic data that only show up when your model is already…

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📌 Lasso Regression: Why the Solution Lives on a Diamond

🗂 Category: MACHINE LEARNING

🕒 Date: 2026-04-23 | ⏱️ Read time: 24 min read

It’s simpler than you think.

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📌 Introduction to Approximate Solution Methods for Reinforcement Learning

🗂 Category: MACHINE LEARNING

🕒 Date: 2026-04-24 | ⏱️ Read time: 9 min read

Learn about function approximation and the different choices for approximation functions

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📌 I Built an AI Pipeline for Kindle Highlights

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2026-04-24 | ⏱️ Read time: 12 min read

A local, zero-cost project that cleans, structures, and summarizes your reading automatically

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