Graph Neural Networks: GCN, MPNN, and GAT, Explained Simply
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 Towards Data Science .
Stories from Towards Data Science
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Recurring themes in this source.
Machine LearningNeural NetworkGraph Neural NetworkDeep LearningEditor's PicksData EngineeringPythonPysparkData ScienceWindow FunctionsProgrammingLarge Language ModelsLlmStructured Output
Recent curated reads
A Practical Introduction to PySpark Window Functions
Why the standard groupBy function isn’t enough The post A Practical Introduction to PySpark Window Functions appeared first on Towards Data Science .
Your JSON Is Valid but Your Data Is Wrong: Five Failure Modes LLM Structured Outputs Won't Catch
Five failure modes that survive constrained decoding, and why your schema validator will never catch them. The post Your JSON Is Valid but Your Data Is Wrong: Five Failure Modes LLM Structured Outputs Won't Catch appeared first on Towards Data Science .
What We Miss About Missing Values
The hidden assumptions behind the data we observe. The post What We Miss About Missing Values appeared first on Towards Data Science .
5 AI Skills That Will Keep Data Scientists Relevant in 2027
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 .
Your LLM Can Return Perfect JSON and Still Be Wrong
What I learned after thinking more carefully about Structured Outputs on messy, incomplete data The post Your LLM Can Return Perfect JSON and Still Be Wrong appeared first on Towards Data Science .
AgentOps Is Not MLOps: What Breaks in Your Monitoring Stack When Agents Go to Production
The five MLOps monitoring assumptions agents break, and which inherited signals now pass failed runs as healthy. The post AgentOps Is Not MLOps: What Breaks in Your Monitoring Stack When Agents Go to Production appeared first on Towards Data Science .
8 Tips for Writing Effective Agent Instructions
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 .
RAG Is Not the Whole Toolkit: The NLP Techniques Real Problems Still Need
Enterprise Document Intelligence [Vol.1 #B00] - Retrieval answers one kind of question. Classifying a request, matching free text to a reference list, reading a table, cleaning OCR noise: each has a cheaper method that works, and the engineering is knowing which one to reach for The post RAG Is Not the Whole Toolkit: T
Human-in-the-Loop Without Killing Throughput
How we stopped reviewing every agent action and started routing human attention where it actually mattered The post Human-in-the-Loop Without Killing Throughput appeared first on Towards Data Science .
From One Agent to a Team: Understanding Codex Subagents
A hands-on guide to defining specialist agents and coordinating their work in the Codex CLI The post From One Agent to a Team: Understanding Codex Subagents appeared first on Towards Data Science .
The Sigmoid Function: From 'e' to Neural Networks
We use the equation all the time. But where did it actually come from? The post The Sigmoid Function: From 'e' to Neural Networks appeared first on Towards Data Science .
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