Understanding and implementing CBAM (Convolutional Block Attention Module) from scratch with PyTorch

The post CBAM Paper Walkthrough: The Double-Attention Mechanism appeared first on Towards Data Science.

How to verify your app aligns with your intent without ever reading a line of generated code.

The post Coding Agents Keep Shipping Silent Failures — Here Is How to Catch Them appeared first on Towards Data Science.

How do you set yourself up for a career that will stand the test of time when things are changing so fast?

The post Starting a Career in Data Science in the Age of AI appeared first on Towards Data Science.

Multi-agent coding systems don't necessarily fail because agents can't communicate. They can fail because important commitments made in conversation have nowhere to live afterward.

The post Multi-Agent Coding Isn’t Enough — Agents Need a Commitment Layer appeared first on Towards Data Science.

What it takes to turn counterfactual analysis into an AI product

The post How I Built a Multi-Agent System for Interrupted Time Series Analysis (ITSA) appeared first on Towards Data Science.

From a chocolate bar with no price tag to a marketing mix model in PyMC, and the 200-year-old integral that stood in between.

The post Why You Think Like a Bayesian but Were Taught Like a Frequentist appeared first on Towards Data Science.

I built four AI retrieval architectures on a laptop and benchmarked them against the same set of documents and questions. Here’s what the results taught me about the trade-offs between plain RAG, graph RAG, and simply putting everything into a frontier model’s context window.

The post When Does Graph RAG Actually Add Value? A Hands-On Experiment appeared first on Towards Data Science.

Robust Estimation Series: comparing classical and modern robust estimators through theory, code, and experiments

The post How to Make Linear Regression Survive Outliers appeared first on Towards Data Science.

How moving randomness outside the computation graph turns noisy gradient estimators into low-variance, differentiable ones

The post Reparameterization Tricks: Variance Reduction by Smarter Gradients appeared first on Towards Data Science.

A viral debate over loops versus graphs points to a bigger shift in how we build AI systems. Here’s what graph engineering actually means, how it differs from prompt, context, and loop engineering, and why it matters.

The post Graph Engineering for AI Agents: From Prompts and Loops to Workflows appeared first on Towards Data Science.

A practitioner's guide to estimating what an opt-in AI feature actually did, when nobody randomized it.

The post Your AI Adoption Lift Is a Selection Effect appeared first on Towards Data Science.

Why AI coding makes software design more important

The post Software Design in the Age of AI 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.

Why autonomous agents expose a new explainability problem in fraud detection

The post What SHAP Can't Explain About Agentic AI Fraud appeared first on Towards Data Science.

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.

Understanding permutation symmetry in deep learning, and what it means for weight averaging and model merging

The post The Symmetry That Breaks Neural Network Averaging appeared first on Towards Data Science.

How we split a tightly coupled Python pipeline into independently deployable services

The post When One Process Becomes Too Much: Splitting a Pipeline into MCP Services appeared first on Towards Data Science.

How model validation standards are changing for LLM-based systems: what breaks, what carries over, and how to test output quality

The post The Model Validation Playbook for GenAI: Lessons from Banking appeared first on Towards Data Science.

I saved my day with a mere $52 bill. But you don't have to repeat my mistake.

The post I Vibe-Coded an App in Just Two Hours (And Regretted It the Next Day) appeared first on Towards Data Science.

From scalar observations to self-attention, and how positional information restores sequence order

The post Why Transformers Need Positional Encoding For Time Series: A Visual Guide appeared first on Towards Data Science.