KDnuggets
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Data Science, Machine Learning, AI & Analytics
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Free AI and Data Courses with 365 Data Science: 100% Unlimited Access until Nov 20
Get unlimited free access to 365 Data Science’s complete AI and data learning platform, including 134 courses, hands-on projects, and certifications, through November 20.
How to Give Your AI Agent Memory
Learn how to give AI agents long-term memory using the OpenAI Agents SDK, Mem0, and MCP to remember preferences, context, and important information across sessions.
Top 7 Python Libraries for Time Series Analysis and Modeling
Working with time series data? These Python libraries cover everything from classical forecasting to deep learning and anomaly detection.
Web Scraping 7,000 Pages in 3 Minutes with Python and Olostep
Scrape thousands of pages in a few minutes with the Olostep Batch API, download Markdown, and measure what actually finished.
What I Did with Hermes Agent, Ollama & Local Models
Build a local multi-agent travel planner with Hermes Agent and Ollama: a coordinator and three specialist agents that research destinations, suggest stays, and generate real Google Flights search links.
The Data Science Interview in 2026: What’s Changed and How to Prepare
A round-by-round breakdown of how the hiring process has shifted, from AI-assisted coding rounds to GenAI evaluation questions, and what you need to do differently to be ready.
7 Small Specialist Models That Beat Giant LLMs at One Job
Meet seven open specialist models under 10 billion parameters that rival much bigger systems at one job each, from transcription and OCR to routing and speech.
Using LLM Summarization in Your Scikit-Learn Pipelines with Scikit-LLM
Learn how to build an architecture that blends Scikit-LLM estimators for text summarization with traditional scikit-learn methods into a single, unified pipeline for summarizing and classifying raw, messy text.
8 LLM Inference Frameworks You Should Try in 2026
Compare LLM inference frameworks for production serving, request batching, KV cache management, and efficient deployment.
Running LLMs Locally Does Not Mean Your Data Is Safe: What Cohere’s Study Reveals
Cohere caught Alibaba’s Qwen model unexpectedly attempting to upload a test payload to Alibaba Cloud storage during a cybersecurity task, but the sandbox blocked the request, leaving questions about what triggered the behavior.
5 AI Certifications Worth Paying For in 2026 (And Which to Skip)
A data-backed guide to the credentials that actually move the needle for data scientists and machine learning practitioners.
Vibe Coding a Classic Game: Building Breakout Step by Step with an AI Assistant
Vibe coding is a workflow where you describe what you want in natural language and let an AI agent handle code generation, execution, and iteration rather than typing every line yourself.
Silent Data Errors That Survive Every Cleaning Pipeline
4 bugs that pass every null check, duplicate check, and schema test.
The AI Skills That Actually Show Up in Job Postings Right Now
Which AI skills appear most often in job postings right now, and what do they mean for your career?
5 Docker Containers You Need for a Home AI Lab
Learn which five Docker containers make a reliable home AI lab, from Ollama and Open WebUI to Qdrant, n8n and Portainer CE, what job each one does, and the first mistake to avoid with each.
Access Multiple AI Models in Your Python Apps Using OpenRouter
Learn how to get started with the OpenRouter API to call multiple AI models through one API, compare responses, switch models, and set up automatic fallbacks.
Can This Open-Source Model Beat AI Detectors? Let’s Test It Locally
Can a free, open-source AI humanizer beat paid tools? We tested a 12B model locally and compared the results against AI detectors to see if the hype is real.
Which Local LMs are Best For Which Tasks
A local language model is one whose actual weights, the enormous file of learned numbers that constitutes the trained model, you download and run entirely on your own hardware.
Google Gemini Omni: What It Actually Does, What It Costs, and How It Compares
Gemini Omni is a member of Google's Gemini generative model family, built specifically to create output from any combination of input types, starting with video.
The Roadmap to Becoming a Computer Vision Engineer in 2026
A four-stage technical roadmap for becoming a computer vision engineer, from spatial mathematics and ViTs through 3D neural rendering and edge deployment optimization.
In the directory since 25 Sept 2026 · last checked 9 Nov 2026 · RSS