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238 articles found
A local, zero-cost project that cleans, structures, and summarizes your reading automatically The post I Built an AI Pipeline for Kindle Highlights appeared first on Towards Data Science.
More variables don't make a better scoring model. Stable variables do. Here's how to find them. The post How to Select Variables Robustly in a Scoring Model appeared first on Towards Data Science.
Learn how to get the most out of Claude Code The post How to Improve Claude Code Performance with Automated Testing appeared first on Towards Data Science.
Mario asked me why 18% of his shipments were late when every team hit their target. I built a live simulation, connected an AI agent, and let it investigate. The post I Simulated an International Supply Chain and Let OpenClaw Monitor It appeared first on Towards Data Science.
A practical pipeline for classifying messy free-text data into meaningful categories using a locally hosted LLM, no labeled training data required. The post Using a Local LLM as a Zero-Shot Classifier appeared first on Towards Data Science.
The silent gaps in synthetic data that only show up when your model is already in production. The post Your Synthetic Data Passed Every Test and Still Broke Your Model appeared first on Towards Data Science.
It’s simpler than you think. The post Lasso Regression: Why the Solution Lives on a Diamond appeared first on Towards Data Science.
Turning free-to-use data into a hypothesis-ready dataset The post Using Causal Inference to Estimate the Impact of Tube Strikes on Cycling Usage in London appeared first on Towards Data Science.
Learn how Propensity Score Matching uncovers true causality in observational data. By finding "statistical twins," we eliminate selection bias to reveal the real impact of your interventions and business decisions. The post Correlation vs. Causation: Measuring True Impact with Propensity Score Match
How I turned LLM persona interviews into a repeatable customer research workflow The post From Ad Hoc Prompting to Repeatable AI Workflows with Claude Code Skills appeared first on Towards Data Science.
A short intro to scientific methodology to combat "prompt in, slop out" The post Ivory Tower Notes: The Methodology appeared first on Towards Data Science.
Run OpenClaw assistant through alternative LLMs The post How to Run OpenClaw with Open-Source Models appeared first on Towards Data Science.
For any data scientist who works in a team, being able to undo Git actions can be a life saver. This practical guide will teach you all you need to know to save the day. The post Git UNDO : How to Rewrite Git History with Confidence appeared first on Towards Data Science.
How you can build your own Thompson Sampling Algorithm object in Python and apply it to a hypothetical yet real-life example The post DIY AI & ML: Solving The Multi-Armed Bandit Problem with Thompson Sampling appeared first on Towards Data Science.
A guide to bridging the gap between ease of use and raw performance. The post How to Call Rust from Python appeared first on Towards Data Science.
Explore the end-to-end pipeline of TurboQuant, a novel KV cache quantization framework. This overview breaks down how multi-stage compression achieves near-lossless storage through PolarQuant and QJL residuals, enabling massive context windows with minimal memory overhead The post KV Cache Is Eating
Open source. 5-minute setup. Vector RAG done right—try it yourself. The post Proxy-Pointer RAG: Structure Meets Scale at 100% Accuracy with Smarter Retrieval appeared first on Towards Data Science.
How to turn data into a strategic asset that enables faster decisions, reduces uncertainty, and helps the organization move toward its goals. The post From Risk to Asset: Designing a Practical Data Strategy That Actually Works appeared first on Towards Data Science.
Conceptual overview and practical guidance The post Context Payload Optimization for ICL-Based Tabular Foundation Models appeared first on Towards Data Science.
And what does it tell us? The post What Does the p-value Even Mean? appeared first on Towards Data Science.