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KDnuggets
Articles on AI, Analytics, Big Data, Data Mining, Data Science, and Machine Learning by Gregory Piatetsky-Shapiro and Matthew Mayo at KDnuggets. KDnuggets is a leading site on Data Science, Machine Learning, AI and Analytics. Edited by Matthew Mayo. KDnuggets was founded by Gregory Piatetsky-Shapiro. KD stands for Knowledge DiscoveryMORE
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Showing 1-50 of 212 entries
Let's break down five newly introduced, high-impact features, and discuss how advanced practitioners can incorporate them into their daily workflows to maximize productivity.
Antigravity is sitting on a stack of capabilities, many of which have very little to do with writing functions.
Cleancode, clean data: why Pyjanitor's method chaining approach is the pathway to reach this double goal.
This five day generative AI intensive course covers foundational models, embeddings, AI agents, domain-specific LLMs, and MLOps through a week of whitepapers, hands-on code labs, and live expert sessions.
Here are five ready-to-go Docker containers that can be deployed today to make any small business run smoother.
Turn an aging laptop into a private AI workspace with Ollama and OpenCode for local coding, testing, and experimentation.
Merging spreadsheets, cleaning exports, and splitting reports are necessary-but-boring tasks. These Python scripts handle the repetitive parts so you can focus on the actual work.
Compare SQL and NoSQL backend services. Find out which BaaS is right for your next app in this neutral guide.
As language model applications evolved, they increasingly became one with so-called RAG architectures: learn 7 key steps deemed essential to mastering their successful development.
The 10 concepts every LLM engineer swears by to build reliable AI systems.
Data disruptions are no longer rare events. Hardware failures, ransomware, and unexpected outages can interrupt operations at any time. The difference between a temporary setback and a major business disruption often comes down to preparation.
But here's what nobody's actually saying out loud: the threat everyone keeps attributing to AI belongs more specifically to automation.
Turn OpenClaw into a powerful personal assistant with these 5 hands-on projects from beginner to advanced.
Five key statistical traps in FAANG interviews that test your ability to question data, spot bias, and think critically
Build AI agents instantly with 5 ready‑to‑run Docker containers. Pull, run, and start creating with zero setup.
An overview of a state-of-the-art study, uncovering simulation-based reasoning, a "just-in-time" framework and how it helps improve predictions in the context of supporting human planning and reasoning.
Don’t deploy another model until you check out these essential 2026 LLMOps tools.
Explore the top agent skill marketplaces shaping how AI agents discover, install, and use reusable capabilities.
How to configure Antigravity AI agent workflows to resiliently automate critical code generation tasks: all without the need for third-party tools.
I reviewed dozens of AI website builders and found 7 that are worth testing.
gnoring the foundation of your digital business is the fastest way to turn a profitable quarter into a devastating loss.
Build a full-stack AI meeting summarizer with React, FastAPI, and free LLMs. Zero budget, complete code included
Learn five simple Python scripts to perform effective feature selection. Each one is practical, minimal, and easy to use in real projects.
Learn which tools help AI agents search, scrape, crawl, map websites, answer questions, and research the web faster.
Build an AI weather agent in 40 lines of Python using Hugging Face's smolagents library. Learn to create tools, connect LLMs, and run autonomous tasks.
Learn OpenClaw by exploring key GitHub repositories covering agents, skills, automation, memory systems, and deployment tools.
Learn to build an AI data analyst with Python: analyzes data, detects anomalies, and generates predictions using local LLMs.
Traditional data pipeline development often requires extensive procedural code to define how data should be transformed and moved between stages. The declarative approach flips this paradigm by allowing data engineers to specify what the end result should…
Debugging Python doesn’t need to be complicated. These 5 DIY functions simplify error handling and improve code reliability.
Explore ChatLLM by Abacus AI, an all-in-one AI platform that brings together tools like ChatGPT, Claude, and Midjourney into a single workflow. Learn about its features, pricing, and real-world use cases.
Learn the analytics pattern you can use in most business analytics tasks.
Learn how to set up Nanobot, connect it to WhatsApp, and power it with OpenAI GPT-5.3-Codex for a practical, always-on AI agent.
Was "move fast and break things" ever really the best approach to building a business?
Skip the hype and follow these 10 X accounts for reliable LLM papers, product launches, and thoughtful takes on where AI is heading.
Slow Python code is often caused by small inefficiencies. With a few beginner-friendly techniques, you can make your programs run noticeably faster. This guide will teach you how.
Learn five practical ways to make OpenAI Codex more agentic, reliable, and useful for real software engineering workflows.
Learn everything about SynthID, how it embeds invisible AI watermarks, and how it verifies and identifies AI-generated content across text, images, audio, and video
These five Python decorators have saved me from countless headaches, and they will probably save you, too.
Abacus AI Honest Review And Pricing: The AI That Lets You Vibe Code, Build Agents & Replace 10+ Tools?
19 Mar
A detailed Abacus AI review exploring Abacus AI features, vibe coding AI, DeepAgent, and how this AI agent platform helps build applications and automate workflows faster.
Goose is a free, open-source AI agent that goes beyond code suggestions to autonomously execute tasks, letting you automate development workflows directly on your machine.
Before you trust a library to generate your data, learn how to do it yourself and see where bias and errors actually begin.
Read this empirical analysis of how dataset structure drives window functions, CTEs, JOINs, and pandas merge patterns.
Most LLM hallucination fixes fail. Here is what actually works in production.
In the lab, your AI model might seem perfect, but the real world is often where it breaks.
With 100+ built-in skills, OpenClaw connects AI models directly to apps, browsers, and system tools.
Check out the current state AI agent engineering the accessible way: demystifying the jargon, and seeking supporting evidence.
Learn about a future-proof shift from fragile prompt strings to reusable, testable building blocks.
Access the complimentary Gartner insights now and discover how to make the shifts that matter most for analytics and AI success.
Understanding the gap between startup aspirations and practical execution reveals important lessons about building sustainable AI companies.
Google's MusicFX DJ turns AI music generation into an interactive, consumer-friendly experience, creating real-time music from text prompts.