This article covers five concrete agentic workflows, one for each major stage of a data science pipeline. Each includes a real-world scenario, tested code patterns, and the design decisions that matter in production.
In this tutorial, we will show you how to use Gemini to create Google Sheets, build a useful table, generate formulas, analyze data, and improve the spreadsheet with follow-up prompts.
Take a practical look at multimodal, any-to-any systems for vision-language reasoning, speech interaction, document intelligence, real-time assistants, local deployment.
Explore the best local coding models for private AI coding, fast GGUF inference, agentic workflows, multimodal development, and running powerful open models on your own GPU.
This article breaks down each essential math discipline, explains its role in data science, and maps out an efficient learning path you can start today.
WebMCP is an open web standard that lets websites expose structured, callable tools directly to browser-based agents. Instead of an agent trying to interpret your UI, your site tells the agent exactly what functions exist, what inputs they take, and ...
Outliers can easily ruin the performance of any predictive analysis models you build: robustly detecting and handling them is crucial in any data project. This article lists and compares five essential approaches for detecting them.