π€Reddit r/MachineLearningβ’Stalecollected in 42h
SEFR: SQL-Only Classifier
#sql-ml#classifiers#bigquery#fraud-detectionsefrsefrgoogle-bigquery
π‘Train classifiers in SQLβ18x faster for BigQuery users
β‘ 30-Second TL;DR
What Changed
Fully implemented in SQL, no iterative optimization needed
Why It Matters
Enables rapid ML baselines in SQL environments, ideal for big data pipelines without ML frameworks.
What To Do Next
Benchmark SEFR in BigQuery against LR on your tabular fraud data.
Who should care:Developers & AI Engineers
Key Points
- β’Fully implemented in SQL, no iterative optimization needed
- β’AUC 0.954 on 55k fraud detection dataset
- β’18x faster than Logistic Regression via parallelization
- β’Benchmarked on Google BigQuery
π°
Weekly AI Recap
Read this week's curated digest of top AI events β
πRelated Updates
AI-curated news aggregator. All content rights belong to original publishers.
Original source: Reddit r/MachineLearning β
This is a summary, not the original. Read the source, or get the weekly briefing.
Weekly AI briefing
One email a week. Unsubscribe anytime.