Latest AI/ML News

210 articles · Towards Data Science

Towards Data ScienceSep 15, 2026

Keep your apps looking professional with Claude Code design skills The post How to Build Consistent Designs with Claude Code appeared first on Towards…

Towards Data ScienceSep 15, 2026

How moving randomness outside the computation graph turns noisy gradient estimators into low-variance, differentiable ones The post Reparameterization…

Towards Data ScienceSep 15, 2026

Before reaching for an LLM API on every classification problem, it's worth knowing what a decades-old baseline can already do with the labeled data yo…

Towards Data ScienceSep 15, 2026

How statistical moments connect the mean, the variance, and higher powers of a distribution The post Seizing the Moment: The Hidden Silhouette of Data…

Towards Data ScienceSep 14, 2026

Why the skill-inflation panic is aimed at the wrong thing, and what it costs to make agent knowledge a build artifact instead of a file. The post From…

Towards Data ScienceSep 14, 2026

A viral debate over loops versus graphs points to a bigger shift in how we build AI systems. Here’s what graph engineering actually means, how it diff…

Towards Data ScienceSep 14, 2026

When Codex is the right shape for the problem, when Claude Code is, and how I split 5 specialist agents between them on dense AI capacity work. The po…

Towards Data ScienceSep 14, 2026

First in a series on probabilistic forecasting for physical signals. Next: what happens when you roll the forecast forward more than one step. The pos…

Towards Data ScienceSep 13, 2026

A practitioner's guide to estimating what an opt-in AI feature actually did, when nobody randomized it. The post Your AI Adoption Lift Is a Selection…

Towards Data ScienceSep 13, 2026

Building a FastAPI endpoint for churn prediction, and everything that broke between "it runs" and "it's live The post Your Model Isn't Done Until Some…

Towards Data ScienceSep 10, 2026

A model is only as reliable as the assumptions behind it The post Who Questions What Works: When Should We Retest Our Assumptions? appeared first on T…

Towards Data ScienceSep 10, 2026

Moving from static model assignment to intelligent, task-level LLM selection. The post Optimizing LLM Inference Costs in Multi-Agent Systems with Adap…

Towards Data ScienceSep 10, 2026

Why autonomous agents expose a new explainability problem in fraud detection The post What SHAP Can't Explain About Agentic AI Fraud appeared first on…

Towards Data ScienceSep 10, 2026

Better understand the intent of your coding agents The post How to 5x Your Communication Effectiveness with Claude Code appeared first on Towards Data…

Towards Data ScienceSep 11, 2026

Clarifying the math behind Anthropic’s representation workspace The post Demystifying Anthropic's J-Space: A Mathematical Primer appeared first on Tow…

Towards Data ScienceSep 11, 2026

Frequentist confidence intervals and Bayesian credible intervals answer different questions, and confusing them can distort product decisions The post…

Towards Data ScienceSep 11, 2026

Why AI coding makes software design more important The post Software Design in the Age of AI appeared first on Towards Data Science .

Towards Data ScienceSep 11, 2026

I built a system that automatically discovers, verifies, and applies relevant requirements from earlier interactions without asking the user where the…

Towards Data ScienceSep 12, 2026

What large operators can teach us about turning alert fatigue into faster, safer service assurance The post Stop Managing Alarms: An Incident-First Bl…

Towards Data ScienceSep 12, 2026

A real Weave project that regression-tests three OpenAI models against the exact reply format your app depends on. The post One Capital Letter Was Sil…