data science

Why 90% Accuracy in Text-to-SQL is 100% Useless

I actually have been working within the Analytics space for over 20 years. Back then, it was not called “analytics”, it was “Business Intelligence” and even “Decision Support Systems” in older times. The terms...

Federated Learning, Part 1: The Basics of Training Models Where the Data Lives

I the concept of federated learning (FL) through a comic by Google in 2019. It was a superb piece and did a fantastic job at explaining how products can improve without sending user...

Mastering Non-Linear Data: A Guide to Scikit-Learn’s SplineTransformer

that linear models will be… well, stiff. Have you ever ever checked out a scatter plot and realized a straight line just isn’t going to chop it? We’ve all been there. Real-world data is...

TDS Newsletter: December Must-Reads on GraphRAG, Data Contracts, and More

Never miss a brand new edition of , our weekly newsletter featuring a top-notch collection of editors’ picks, deep dives, community news, and more. Yes, it’s 2026 — and we’re already focused on an eventful...

Faster Is Not All the time Higher: Selecting the Right PostgreSQL Insert Strategy in Python (+Benchmarks)

demonstrates that it’s perfectly possible to insert 2M records per second into Postgres. As an alternative of chasing micro-benchmarks, in this text we’ll step back to ask a more vital query: Which abstractions...

Why Supply Chain is the Best Domain for Data Scientists in 2026 (And The best way to Learn It)

, my LinkedIn inbox is stuffed with data scientists reaching out. Same questions. Same concerns. Is supply chain data science the suitable move? After 10 years in supply chain data science, including five years writing on...

I Evaluated Half a Million Credit Records with Federated Learning. Here’s What I Found

. Compliance wants fairness. The business wants accuracy. At a small scale, you'll be able to’t have all three. At enterprise scale, something surprising happens. Disclaimer:  The Regulator’s Paradox You’re a credit risk manager at a mid-sized...

The Best Data Scientists Are At all times Learning

part in a two-part series on career-long learning as a knowledge scientist. The primary article covered why try to be a career-long learner and the right way to give you topics to review. In...

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