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Data Science allows us to extract meaning from and interpret data.

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A judge that agrees with your humans 92 percent of the time can be at 60 percent where the gate actually decides

A judge that agrees with your humans 92 percent of the time can be at 60 percent where the gate actually decides

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8 min read
Six prompt-optimization frameworks: what matters when you run them on the same task

Six prompt-optimization frameworks: what matters when you run them on the same task

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3 min read
Snowflake Cortex Analyst vs Databricks Genie: Where Warehouse-Native AI Stops

Snowflake Cortex Analyst vs Databricks Genie: Where Warehouse-Native AI Stops

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2 min read
Raw Data Clean Data Analysis Insights Decision

Raw Data Clean Data Analysis Insights Decision

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4 min read
DBSCAN Has No Loss Function. That's Not a Bug.

DBSCAN Has No Loss Function. That's Not a Bug.

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5 min read
The Hoax Lifecycle in a Courtroom: COPA v Wright as a Live Specimen

The Hoax Lifecycle in a Courtroom: COPA v Wright as a Live Specimen

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12 min read
Getting Started with WEKA: A Beginner’s Guide to Machine Learning Without Code

Getting Started with WEKA: A Beginner’s Guide to Machine Learning Without Code

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4 min read
Multi-Armed Bandit Testing: How It Works and When to Use

Multi-Armed Bandit Testing: How It Works and When to Use

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11 min read
How to Choose a Minimum Detectable Effect (MDE)

How to Choose a Minimum Detectable Effect (MDE)

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9 min read
The Scrape-First Era Is Over: Your Training Data Is a Supply Chain Now

The Scrape-First Era Is Over: Your Training Data Is a Supply Chain Now

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6 min read
Malawi Paid $5 Million for Drought Insurance. The Model Was Watching a Crop the Farmers Had Stopped Planting.

Malawi Paid $5 Million for Drought Insurance. The Model Was Watching a Crop the Farmers Had Stopped Planting.

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7 min read
MLOps in Travel: From Notebook to Production in 30 Days

MLOps in Travel: From Notebook to Production in 30 Days

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8 min read
Speaker embeddings can mistake a 0.7-semitone change for something else

Speaker embeddings can mistake a 0.7-semitone change for something else

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3 min read
A top-10 list was the wrong answer, so I used greedy set cover instead

A top-10 list was the wrong answer, so I used greedy set cover instead

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4 min read
The arbitrage that wasn't: when two markets are identical but their oracles aren't

The arbitrage that wasn't: when two markets are identical but their oracles aren't

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7 min read
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