📄 文章列表
32 篇文章
TDS
Difference-in-Differences vs Lagged-Outcome Regression
TDS
Both Charts Are Right. So Why Do They Disagree?
TDS
How Wrong Is Your Marketing Mix Model (MMM)?
TDS
AI Made Data Scientists Faster. Now It’s Expanding the Job.
TDS
How I Built a Multi-Agent System for Interrupted Time Series Analysis (ITSA)
VentureBeat
Every user, device and agent gets its own table in KeewanoDB, and queries never join across them
TDS
Your AI Adoption Lift Is a Selection Effect
TDS
Why Your Best Predictive Model Gives the Wrong Treatment Effect
TDS
Granger Causal Networks and Indirect Feedback
AlphaSignal
LM Arena Ships Agent Mode to Rank AI Models on Real Multi-Step Tasks | AlphaSignal
TDS
🚪🚪🐐 Lessons in Decision Making from the Monty Hall Problem
TDS
Core Machine Learning Skills, Revisited
TDS
Prescriptive Modeling Makes Causal Bets – Whether You Know it or Not!
TDS
A Well-Designed Experiment Can Teach You More Than a Time Machine!
TDS
Analysis of Sales Shift in Retail with Causal Impact: A Case Study at Carrefour
TDS
Why Are Marketers Turning To Quasi Geo-Lift Experiments? (And How to Plan Them)
TDS
Actual Intelligence in the Age of AI
TDS
How the Rise of Tabular Foundation Models Is Reshaping Data Science
TDS
Causal ML for the Aspiring Data Scientist
TDS
Randomization Works in Experiments, Even Without Balance
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