Federated learning (FL) projects often begin with a straightforward setup: one server, a few clients, and one dataset at each site. As those projects grow, the...

Federated learning (FL) projects often begin with a straightforward setup: one server, a few clients, and one dataset at each site. As those projects grow, the challenge shifts from running an algorithm to operating shared infrastructure. GPUs must be allocated when jobs need them, multiple research studies must remain separated, and every participating organization must retain control of its own…

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How statistical moments connect the mean, the variance, and higher powers of a distribution

The post Seizing the Moment: The Hidden Silhouette of Data appeared first on Towards Data Science.

Before reaching for an LLM API on every classification problem, it's worth knowing what a decades-old baseline can already do with the labeled data you have — and exactly how much more data buys you.

The post How Many Labeled Examples Does a Text Classifier Actually Need? I Measured It. appeared first on Towards Data Science.

Frequentist confidence intervals and Bayesian credible intervals answer different questions, and confusing them can distort product decisions

The post The 95% Illusion: Why Your Confidence Interval Isn't What You Think It Is appeared first on Towards Data Science.

Biomolecular structure prediction is now often run at proteome scale, where the goal is to move an entire worklist through the pipeline efficiently. NVIDIA...

Biomolecular structure prediction is now often run at proteome scale, where the goal is to move an entire worklist through the pipeline efficiently. NVIDIA BioNeMo Inference Runtime (BioIR) helps accelerate supported biomolecular structure-prediction models on NVIDIA GPUs while keeping the familiar PyTorch workflow. It uses optimized kernels and, where applicable, CUDA Graphs to speed model…

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A model is only as reliable as the assumptions behind it

The post Who Questions What Works: When Should We Retest Our Assumptions? appeared first on Towards Data Science.

Statistical thinking beyond formulas

The post 10 Statistical Traps We Often Overlook appeared first on Towards Data Science.

In September 2026, NVIDIA announced it is leaning into native GPU programming in Rust. CUDA C++ and CUDA Python are mature, enterprise-grade toolchains, and...

In September 2026, NVIDIA announced it is leaning into native GPU programming in Rust. CUDA C++ and CUDA Python are mature, enterprise-grade toolchains, and NVIDIA will be growing and maturing CUDA Rust into 2027 and beyond The systems layer of AI spans inference engines, serving infrastructure, drivers, and agent runtimes, and it churns constantly as models and techniques change.

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AI companies quietly watermark billions of words a day. Here’s how to apply the same three families of techniques to your own writing—and what real experiments reveal about which watermarks survive copy-paste, editing, and paraphrasing.

The post Text Watermarking in Python: Catch Whoever Copies Your Writing appeared first on Towards Data Science.

Using LDA for dimensionality reduction in classification problems

The post Linear Discriminant Analysis (LDA) in Real-Life: Dimensionality Reduction in a Real-Estate Dataset appeared first on Towards Data Science.

Why the default 50/50 split is the wrong move when your treatment is more expensive than your control, and how cost-based sampling weights fix it

The post Optimal Traffic Allocation Under Heterogeneous Variant Cost appeared first on Towards Data Science.

Power BI Premium is gone. Microsoft Fabric took its place. Here's what actually changed for you, what didn't, and where to start — without the panic.

The post The Power BI Developer's Survival Guide to Microsoft Fabric appeared first on Towards Data Science.

Why the standard groupBy function isn’t enough

The post A Practical Introduction to PySpark Window Functions appeared first on Towards Data Science.

What each one solves, and runnable code you can paste into a notebook.

The post 5 AI Skills That Will Keep Data Scientists Relevant in 2027 appeared first on Towards Data Science.

Quick and simple tips to help you write better agent instructions

The post 8 Tips for Writing Effective Agent Instructions appeared first on Towards Data Science.

How to apply the latest context engineering guidelines to your day-to-day data science work

The post Context Engineering Is Changing. Here’s What It Means for Data Scientists appeared first on Towards Data Science.

As AI handles more of the execution, what work should belong to agents vs humans and why does that distinction matter?

The post Agentic AI Is Rewriting The Analytics Stack But There's One Skill It Still Can't Touch appeared first on Towards Data Science.

Bagging hits a wall no amount of trees can break — here's the equation that explains why, and the experiment that proves it

The post Why Random Forest Needs to Be This Random appeared first on Towards Data Science.

When an LLM engine process fails, the standard recovery path involves a cold restart. This requires loading weights into HBM from storage, compiling kernels,...

When an LLM engine process fails, the standard recovery path involves a cold restart. This requires loading weights into HBM from storage, compiling kernels, and capturing NVIDIA CUDA graphs. For large models, initialization can take several minutes, during which surviving workers must absorb the displaced traffic. Shadow engine recovery, available as a preview feature in NVIDIA Dynamo…

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We're excited to share some big news: We completely rebuilt the TDS website and our contributor portal. Whether you come here to read, to write, or both, here's what you can expect from our new site.

The post A New Towards Data Science: A Faster Site and a Brand-New Contributor Portal appeared first on Towards Data Science.