📄 文章列表

690 篇文章
TDS

Probabilistic Multi-Variant Reasoning: Turning Fluent LLM Answers Into Weighted Options

✅ completed ⭐ ★★★★★★ 2026-01-07
TDS

Data Science Spotlight: Selected Problems from Advent of Code 2025

✅ completed ⭐ ★★★★★★ 2026-01-09
TDS

Beyond the Flat Table: Building an Enterprise-Grade Financial Model in Power BI

✅ completed ⭐ ★★★★★★ 2026-01-10
TDS

When Does Adding Fancy RAG Features Work?

✅ completed ⭐ ★★★★★★ 2026-01-12
TDS

Why Your ML Model Works in Training But Fails in Production

✅ completed ⭐ ★★★★★★ 2026-01-13
TDS

What Is a Knowledge Graph — and Why It Matters

✅ completed ⭐ ★★★★★★ 2026-01-14
TDS

A Geometric Method to Spot Hallucinations Without an LLM Judge

✅ completed ⭐ ★★★★★★ 2026-01-17
TDS

Data Poisoning in Machine Learning: Why and How People Manipulate Training Data

✅ completed ⭐ ★★★★★★ 2026-01-17
TDS

Why the Sophistication of Your Prompt Correlates Almost Perfectly with the Sophistication of the Response, as Research b

✅ completed ⭐ ★★★★★★ 2026-01-23
TDS

Achieving 5x Agentic Coding Performance with Few-Shot Prompting

✅ completed ⭐ ★★★★★★ 2026-01-23
TDS

Air for Tomorrow: Mapping the Digital Air-Quality Landscape, from Repositories and Data Types to Starter Code

✅ completed ⭐ ★★★★★★ 2026-01-24
TDS

How to Build a Neural Machine Translation System for a Low-Resource Language

✅ completed ⭐ ★★★★★★ 2026-01-24
TDS

SAM 3 vs. Specialist Models — A Performance Benchmark

✅ completed ⭐ ★★★★★★ 2026-01-25
TDS

Modeling Urban Walking Risk Using Spatial-Temporal Machine Learning

✅ completed ⭐ ★★★★★★ 2026-01-28
TDS

The Unbearable Lightness of Coding

✅ completed ⭐ ★★★★★★ 2026-01-29
TDS

On the Possibility of Small Networks for Physics-Informed Learning

✅ completed ⭐ ★★★★★★ 2026-01-30
TDS

Prompt Fidelity: Measuring How Much of Your Intent an AI Agent Actually Executes

✅ completed ⭐ ★★★★★★ 2026-02-06
TDS

Implementing the Snake Game in Python

✅ completed ⭐ ★★★★★★ 2026-02-10
TDS

Not All RecSys Problems Are Created Equal

✅ completed ⭐ ★★★★★★ 2026-02-11
TDS

Building an AI Agent to Detect and Handle Anomalies in Time-Series Data

✅ completed ⭐ ★★★★★★ 2026-02-11