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Towards Data Science - Medium
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Latest posts
Last updated about 11 hours ago
My Model Worked Perfectly. Then I Tried to Make It Useful.
about 11 hours ago
Turning a trained churn classifier into a FastAPI service that other software...
Tables in PDFs for RAG: Don’t Flatten the Grid
about 13 hours ago
Enterprise Document Intelligence [Vol.1 #B4] - A diagnostic and five composable operations...
Changing One Prompt Can Affect 50 Others — I Built a Prompt Dependency Graph to Find What Needs Retesting
about 14 hours ago
I built a prompt dependency graph that separates everything a component can...
How to Solve the Right Problem in the Age of Agentic AI
about 16 hours ago
A practical framework for reducing uncertainty before agents accelerate implementation The post...
Avoiding Entity Key Drift in a Data Lake: Step 2, When Fuzzy Matching Stops Working
1 day ago
I built a matcher meant to finish the cleanup that normalization left...
A RAG That Says “Not in This Document” Has to Show Four Kinds of Evidence
1 day ago
Enterprise Document Intelligence [Vol.1 #B3] - A confident wrong answer is a...
Graph Neural Networks: GCN, MPNN, and GAT, Explained Simply
1 day ago
A visual guide to how graph neural networks work under the hood...
A Practical Introduction to PySpark Window Functions
1 day ago
Why the standard groupBy function isn’t enough The post A Practical Introduction...
Your JSON Is Valid but Your Data Is Wrong: Five Failure Modes LLM Structured Outputs Won't Catch
2 days ago
Five failure modes that survive constrained decoding, and why your schema validator...
What We Miss About Missing Values
3 days ago
The hidden assumptions behind the data we observe The post What We...
Beyond Point Predictions: A Practical Introduction to Bayesian Neural Networks
3 days ago
More informed decision-making through uncertainty quantification The post Beyond Point Predictions: A...
5 AI Skills That Will Keep Data Scientists Relevant in 2027
3 days ago
What each one solves, and runnable code you can paste into a...