Data

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...

Data Science Highlight: Chosen Problems from Advent of Code 2025

is an annual advent calendar of programming puzzles which might be themed around helping Santa’s elves prepare for Christmas. The whimsical setting masks the proven fact that many puzzles call for serious algorithmic...

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...

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...

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...

Stop Blaming the Data: A Higher Method to Handle Covariance Shift

Despite tabular data being the bread and butter of industry data science, data shifts are sometimes missed when analyzing model performance. We’ve all been there: You develop a machine learning model, achieve great results in...

Optimizing Data Transfer in AI/ML Workloads

a , a deep learning model is executed on a dedicated GPU accelerator using input data batches it receives from a CPU host. Ideally, the GPU — the dearer resource — needs to...

The Real Challenge in Data Storytelling: Getting Buy-In for Simplicity

, I’ve at all times had a knack for data storytelling. You already know, finding the patterns and constructing visuals that really made sense. I’d learned the principles, and truthfully, I believed I had all...

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