ABOUT THIS FEED
KDnuggets is one of the most widely read online platforms dedicated to data science, machine learning, artificial intelligence, and analytics. Founded in the late 1990s by Gregory Piatetsky-Shapiro, it has grown into a go-to hub for professionals, researchers, and enthusiasts who want to keep up with the latest trends, tutorials, tools, and career advice in the AI/ML ecosystem.
- Feature Stores from Scratch: A Minimal Working Implementation
Build the five components every feature store needs, then see where AI changes the design.
- 7 Best Ways to Get Funding for Your Startup Idea
Need money for your startup? These 7 funding options can help you get started, grow faster, and avoid common fundraising mistakes.
- Local Agentic Programming on the Cheap: Claude Code + Ollama + Gemma4
This article builds a full local agentic programming stack using Ollama, Gemma 4, and Claude Code.
- 5 Useful Python Scripts to Automate Boring PDF Tasks
PDFs are used everywhere, and these five Python scripts help you automate the most common PDF tasks.
- Best Free Image Generators on Hugging Face Right Now!
This article cuts through the 90,000 options to the seven models worth your time in 2026.
- 10 GitHub Repositories for Web Development in Python
Explore the best Python web development repositories for building APIs, full-stack web apps, dashboards, machine learning demos, internal tools, and interactive Python-based user interfaces.
- Why Do LLMs Corrupt Your Documents When You Delegate?
Analyzing several reasons why structural content decay may happen when asking LLMs to perform complex document editing for us.
- Anthropic’s Complete Guide to Claude Skills Building
This guide covers the complete picture: what skills are technically, how to plan and design them, the exact file structure and naming rules, how to write instructions that Claude follows reliably, a complete working skill built from scratch, how to test and distribute, and what to do when things go wrong.
- 5 Must-Know Python Concepts for AI Engineers
In this article, we will explore five critical Python concepts that every AI engineer must know to build scalable, secure, and robust systems.
- A Deep Dive into Calibration of Language Models: Platt Scaling, Isotonic Regression, Temperature Scaling
Discover three post-hoc methods for closing the gap between confidence and accuracy.