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Using LDA for dimensionality reduction in classification problems The post Linear Discriminant Analysis (LDA) in Real-Life: Dimensionality Reduction i…
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 ex…
Why the standard groupBy function isn’t enough The post A Practical Introduction to PySpark Window Functions appeared first on Towards Data Science .
A visual guide to how graph neural networks work under the hood The post Graph Neural Networks: GCN, MPNN, and GAT, Explained Simply appeared first on…
Enterprise Document Intelligence [Vol.1 #B3] - A confident wrong answer is a bug. A bare “no answer” with no justification is almost as bad. Each of t…
I built a matcher meant to finish the cleanup that normalization left behind. Testing it against real data showed that no version of it could be made…
A practical framework for reducing uncertainty before agents accelerate implementation The post How to Solve the Right Problem in the Age of Agentic A…
I built a prompt dependency graph that separates everything a component can reach from the smaller set that actually needs targeted evaluation. The po…
Enterprise Document Intelligence [Vol.1 #B4] - A diagnostic and five composable operations, not a decision tree The post Tables in PDFs for RAG: Don’t…
Turning a trained churn classifier into a FastAPI service that other software can actually call. The post My Model Worked Perfectly. Then I Tried to M…
Learn how to run a lot of parallel coding agents without expensive, powerful hardware at home The post How to Run 10+ Claude Code Sessions Without a P…
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.…
Three conditions that must hold before splitting prefill from decode pays off, and why chunked prefill is the right default below that threshold. The…
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…
Improving reinforcement learning for complex physics The post Dynamical System Transfer Learning with Reduced Order Models appeared first on Towards D…
From scalar observations to self-attention, and how positional information restores sequence order The post Why Transformers Need Positional Encoding…
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 f…
More informed decision-making through uncertainty quantification The post Beyond Point Predictions: A Practical Introduction to Bayesian Neural Networ…
The hidden assumptions behind the data we observe. The post What We Miss About Missing Values appeared first on Towards Data Science .