Tools
Feature Election: Federated Feature Selection Without Sharing Data
Feature Election lets federated learning sites vote on which features to keep using local selectors, without sharing any raw data rows.
Latest Articles
AI
ChatGPT vs. Claude vs. Gemini for Data Science Work
A hands-on comparison of ChatGPT, Claude, and Gemini across data science tasks including EDA, code generation, and statistical reasoning.
Data Science
Building a Human-in-the-Loop AI Refund Agent with LangGraph
Learn how to build a LangGraph refund agent that pauses for human approval before executing financial actions using interrupt() checkpoints.
Machine Learning
Bridging Algorithmic Design and Regulatory Standards in Enterprise AI
Enterprise AI teams face growing pressure to balance model innovation with regulatory compliance. Here's a practical framework for embedding governance into eve
Data Science
Ten GitHub Projects Built with Jev Decision Models
Jev turns agent decisions into typed outputs with probabilities. Here are ten GitHub repositories showing practical ways to build with it.
AI
Meta Muse Explained: What It Is and How It Works
Meta Muse is a personal AI agent that plans, takes actions, and works in the background to complete real-world tasks on your behalf.
Tools
How to Use Marimo for Interactive Data Analysis
Marimo is a reactive Python notebook that auto-updates cells and runs as a shareable app. Build interactive dashboards with Pandas and Altair.
Tools
Local Agentic AI Workflows with Hermes Agent and Ollama
Build a fully local, zero-cost agentic AI workflow using Hermes Agent and Ollama. Keep your files, code, and conversations on your own hardware.
Machine Learning
Sarvam Vision 2.1: Indian Language OCR Benchmark Review
Sarvam Vision 2.1 is the first OCR model to handle both Indian language scripts and English document structure without sacrificing either.
Data Science
10 Solved Generative AI Projects to Build Your Portfolio
A curated guide to 10 solved AI projects spanning machine learning to generative AI, with tools, learning outcomes, and source code links.
Data Science
Tool Calling vs. Code Execution for AI Agents
Learn how tool calling and code execution differ as agent action primitives, and when to choose each based on cost, latency, and accuracy.