📄 文章列表

161 篇文章
TDS

Is Your Model Time-Blind? The Case for Cyclical Feature Encoding

✅ completed ⭐ ★★★★★★ 2025-12-24
TDS

EDA in Public (Part 3): RFM Analysis for Customer Segmentation in Pandas

✅ completed ⭐ ★★★★★★ 2026-01-01
TDS

YOLOv1 Loss Function Walkthrough: Regression for All

✅ completed ⭐ ★★★★★★ 2026-01-05
TDS

Beyond Prompting: The Power of Context Engineering

✅ completed ⭐ ★★★★★★ 2026-01-08
TDS

Data Science Spotlight: Selected Problems from Advent of Code 2025

✅ completed ⭐ ★★★★★★ 2026-01-09
TDS

An introduction to AWS Bedrock

✅ completed ⭐ ★★★★★★ 2026-01-13
TDS

The Great Data Closure: Why Databricks and Snowflake Are Hitting Their Ceiling

✅ completed ⭐ ★★★★★★ 2026-01-16
TDS

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

✅ completed ⭐ ★★★★★★ 2026-01-24
TDS

Machine Learning in Production? What This Really Means

✅ completed ⭐ ★★★★★★ 2026-01-28
TDS

Distributed Reinforcement Learning for Scalable High-Performance Policy Optimization

✅ completed ⭐ ★★★★★★ 2026-02-01
TDS

Creating a Data Pipeline to Monitor Local Crime Trends

✅ completed ⭐ ★★★★★★ 2026-02-03
TDS

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

✅ completed ⭐ ★★★★★★ 2026-02-11
TDS

Agentic AI for Modern Deep Learning Experimentation

✅ completed ⭐ ★★★★★★ 2026-02-18
TDS

Optimizing Token Generation in PyTorch Decoder Models

✅ completed ⭐ ★★★★★★ 2026-02-24
TDS

Why You Should Stop Writing Loops in Pandas

✅ completed ⭐ ★★★★★★ 2026-03-03
TDS

AI in Multiple GPUs: ZeRO & FSDP

✅ completed ⭐ ★★★★★★ 2026-03-05
TDS

Hybrid Neuro-Symbolic Fraud Detection: Guiding Neural Networks with Domain Rules

✅ completed ⭐ ★★★★★★ 2026-03-10
TDS

The Causal Inference Playbook: Advanced Methods Every Data Scientist Should Master

✅ completed ⭐ ★★★★★★ 2026-03-15
TDS

How a Neural Network Learned Its Own Fraud Rules: A Neuro-Symbolic AI Experiment

✅ completed ⭐ ★★★★★★ 2026-03-17
TDS

A Gentle Introduction to Nonlinear Constrained Optimization with Piecewise Linear Approximations

✅ completed ⭐ ★★★★★★ 2026-03-21