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238 articles found
Stop shifting elements in lists! Discover why collections.deque is the secret to high-performance sliding windows, thread-safe queues, and efficient data streams in your next Python project. The post Beyond Lists: Using Python Deque for Real-Time Sliding Windows appeared first on Towards Data Scienc
A scenario analysis case study on calibrated uncertainty, historical error, and why some models are most useful when they refuse to forecast. The post When the Uncertainty Is Bigger Than the Shock: Scenario Modelling for English Local Elections appeared first on Towards Data Science.
What you see is rarely what you get with flashy dashboards and data storytelling The post Deconstruct Any Metric with a Few Simple ‘What’ Questions appeared first on Towards Data Science.
A physicist's approach to building production-grade agents The post Why I Don’t Trust LLMs to Decide When the Weather Changed appeared first on Towards Data Science.
Part 2. Building scale-invariant agents that seamlessly change contexts The post Surviving High Uncertainty in Logistics with MARL appeared first on Towards Data Science.
Your RAG system isn’t failing at retrieval — it’s failing at reasoning. This article shows how I built a lightweight self-healing layer that detects and corrects hallucinations before they reach users. The post RAG Hallucinates — I Built a Self-Healing Layer That Fixes It in Real Time appeared first
Improve Claude Code performance by having it validate its own work The post How to Make Claude Code Validate its own Work appeared first on Towards Data Science.
Part 1: The basics — discretization of time, censoring and the life table The post Discrete Time-To-Event Modeling – Predicting When Something Will Happen appeared first on Towards Data Science.
A practical guide to understanding AI agent design, ReAct workflows, and when to scale from a single agent to a multi-agent system. The post Single Agent vs Multi-Agent: When to Build a Multi-Agent System appeared first on Towards Data Science.
Building a knowledge base for AI models isn’t a one-time task but an iterative process of refinement. The post How to Build an Efficient Knowledge Base for AI Models appeared first on Towards Data Science.
AI tools speed up IoT development — but closer to the hardware, the same code that looks correct can silently break thousands of devices at once. The post How AI Tools Generate Technical Debt in IoT Systems — and What to Do About It appeared first on Towards Data Science.
Solving multiplayer games with function approximation The post Playing Connect Four with Deep Q-Learning appeared first on Towards Data Science.
A review of the Cross-Stage Partial Network paper — and a from-scratch PyTorch implementation The post CSPNet Paper Walkthrough: Just Better, No Tradeoffs appeared first on Towards Data Science.
Why reasoning models dramatically increase token usage, latency, and infrastructure costs in production systems The post Inference Scaling (Test-Time Compute): Why Reasoning Models Raise Your Compute Bill appeared first on Towards Data Science.
A practitioner's decision framework for Ridge, Lasso, and ElasticNet based on three quantities you can compute before fitting a model The post Which Regularizer Should You Actually Use? Lessons from 134,400 Simulations appeared first on Towards Data Science.
One scale parameter determines accuracy in rotation-based vector quantization. The post How a 2021 Quantization Algorithm Quietly Outperforms Its 2026 Successor appeared first on Towards Data Science.
What people actually look for when hiring juniors that stand out. The post How to Get Hired in the AI Era appeared first on Towards Data Science.
A data quality case study from English local elections on categorical normalisation, metric validation, and why raw labels should never define analytical groups. The post Churn Without Fragmentation: How a Party-Label Bug Reversed My Headline Finding appeared first on Towards Data Science.
Or why what appears powerful can be methodologically fragile The post Why Powerful Machine Learning Is Deceptively Easy appeared first on Towards Data Science.
The first database built for AI Agents The post Ghost: A Database for Our Times? appeared first on Towards Data Science.