How to Build Reliable RAG Systems?
A RAG demo takes an afternoon. A RAG system that gives correct answers on the thousandth query, from messy documents, for users who ask…Continue reading on Towards AI »
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Data Science
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Jev vs Clef vs OpenAI Decisions API: I Tested Six Decision APIs on 700 Items
Three tasks were a near-tie. Images, 77-label routing and bad input were not.Continue reading on Towards AI »
Towards AI1 min readA Scaffold at the Gate: Building AI Applications That Can Evolve
A technical reflection on why data scientists need software engineering principles when AI agents write code. The post A Scaffold at the Gate: Building AI Applications That Can Evolve appeared first on Towards Data Science.
Towards Data Science11 min readHow to Rewrite Apache Spark UDFs for GPU Acceleration with AI Agents
Enterprise applications have become increasingly demanding. Agentic AI has compounded the need for vast amounts of enterprise data with frequent, complex...
NVIDIA Developer Blog6 min read5 AutoHotkey Scripts for Data Scientists
Five AutoHotkey v2 scripts that handle repetitive Windows desktop work around data analysis: launching a project workspace, converting clipboard IDs to Python or SQL lists, fixing file paths, and snapping windows into place.
KDnuggets10 min readHow to Leverage NLP for Product Data Science
A practical guide to strengthening churn, CLV, and other traditional models with text The post How to Leverage NLP for Product Data Science appeared first on Towards Data Science.
Towards Data Science12 min readMean Squared Error (MSE): The Loss Function That Makes Big Mistakes Expensive
Loss Functions Deep Dive — Part 4 of 30Continue reading on Towards AI »
Towards AI1 min readWhat’s So Imaginary About Complex Numbers?
Understanding complex numbers through pairs, rotations, and a different multiplication.Continue reading on Towards AI »
Towards AI1 min readSelf-Adjoint Matrices and the Geometry Behind Symmetry
What does the adjoint tell us about a linear transformation?Continue reading on Towards AI »
Towards AI1 min readEveryone Told Me to Learn Julia. Here’s What I Found After Looking at the Numbers.
Julia is faster than Python and almost nobody uses it for AI. I wanted to understand why, and whether you should learn it anyway.Continue reading on Towards AI »
Towards AI1 min readChatGPT vs. Claude vs. Gemini for Data Science Work: Here’s What I Found
Compare ChatGPT, Claude, and Gemini across the data science tasks that matter most to statisticians and analysts.
KDnuggets8 min readTop Data Engineering GitHub Projects for Your Portfolio
A strong data engineer portfolio is a small set of complete, well-documented pipelines rather than a long list of half-finished notebooks. Each repository should ingest data from a real or realistic source, apply a defined transformation or modeling step, and land the output somewhere queryable,…
AI and Machine Learning Roadmaps Blog7 min readTuning Jev as a Risk Judge: A Decision Model vs.
Tuning Jev as a Risk Judge: A Decision Model vs. Two Cost-Effective LLMs and When the Hybrid with Reasoning Makes Things Worse
Towards AI16 min readBuilding Reliable Data Analytics Agents: Lessons from the KDD Cup
The NVIDIA KGMON team placed second in the KDD Cup 2026 Data Agents competition with a system built around a simple idea of making an agent's harness smaller,...
NVIDIA Developer Blog8 min readOpenAI’s AI Wrote 722 Maths Papers. Nobody Can Explain Them
I audited the repository OpenAI dropped on 6 October. Most of the proofs are machine-checked. The mathematicians are worried anyway, and…Continue reading on Towards AI »
Towards AI1 min read15 TensorFlow Projects to Boost Your Data Science Resume
If you’re learning deep learning, you’ve likely searched for a clear tensorflow introduction before jumping into code. TensorFlow remains one of the most in-demand frameworks in data science hiring, used across computer vision, NLP, and recommendation systems at companies like Google, Airbnb, and…
AI and Machine Learning Roadmaps Blog8 min readAI Engineers, Applied Scientists, Forward Deployed Engineers: Let's Unpack.
An exploration of the new data science roles emerging after the Large Language Model explosion. The post AI Engineers, Applied Scientists, Forward Deployed Engineers: Let's Unpack. appeared first on Towards Data Science.
Towards Data Science9 min readHow Wrong Is Your Marketing Mix Model (MMM)?
A well-built MMM can still be wrong, because the spend it learns from never held the information it needs. This article tests whether changing when you spend, not how much, can fix that. The post How Wrong Is Your Marketing Mix Model (MMM)? appeared first on Towards Data Science.
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