📰 Towards Data Science

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

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 D

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

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 Towards Dat

A practical guide to building, testing, and documenting SQL transformations The post Getting started with dbt appeared first on Towards Data Science .

Understanding permutation symmetry in deep learning, and what it means for weight averaging and model merging The post The Symmetry That Breaks Neural Network A

How we split a tightly coupled Python pipeline into independently deployable services The post When One Process Becomes Too Much: Splitting a Pipeline into MCP

Statistical thinking beyond formulas The post 10 Statistical Traps We Often Overlook appeared first on Towards Data Science .

My first impressions of OpenAI's new frontier model The post How to Maximize GPT-6 Astra appeared first on Towards Data Science .

How model validation standards are changing for LLM-based systems: what breaks, what carries over, and how to test output quality The post The Model Validation

Learn how to simulate reality with Python The post A Beginner’s Guide to World Models appeared first on Towards Data Science .

Towards Data Science launches a video showcase for real-world AI work The post Introducing ShipAI appeared first on Towards Data Science .

A context window can be technically complete and still describe a world that no longer exists. I built a deterministic benchmark to measure the cost of acting o

I saved my day with a mere $52 bill. But you don't have to repeat my mistake. The post I Vibe-Coded an App in Just Two Hours (And Regretted It the Next Day) app

How to catch a payload that looks correct but isn't, using a watchdog pattern with working Python. The post Why Most Multi-Agent Systems Fail Even When Evaluati

AI companies quietly watermark billions of words a day. Here’s how to apply the same three families of techniques to your own writing—and what real experiments

Using LDA for dimensionality reduction in classification problems The post Linear Discriminant Analysis (LDA) in Real-Life: Dimensionality Reduction in a Real-E

From scalar observations to self-attention, and how positional information restores sequence order The post Why Transformers Need Positional Encoding For Time S

Improving reinforcement learning for complex physics The post Dynamical System Transfer Learning with Reduced Order Models appeared first on Towards Data Scienc

Why the default 50/50 split is the wrong move when your treatment is more expensive than your control, and how cost-based sampling weights fix it The post Optim

Three conditions that must hold before splitting prefill from decode pays off, and why chunked prefill is the right default below that threshold. The post Disag

Power BI Premium is gone. Microsoft Fabric took its place. Here's what actually changed for you, what didn't, and where to start — without the panic. The post T

Learn how to run a lot of parallel coding agents without expensive, powerful hardware at home The post How to Run 10+ Claude Code Sessions Without a Powerful Co

Five failure modes that survive constrained decoding, and why your schema validator will never catch them. The post Your JSON Is Valid but Your Data Is Wrong: F