Machine learning
Classical and deep learning: training, architectures, frameworks and the maths behind them
Latest stories See all →
- Finding models in a Raystack
- Cross-Lingual Entity Matching: Closing the Translation Gap
- Toward Production-Grade AgenticOps: How STAROps Builds Generalizable Root Cause Analysis
- MLOps — How Companies Keep AI Models Working in the Real World
- Multimodal AI for Developers: Build AI That Can See, Hear, Speak & Create
- Generative AI Training in Hyderabad
- How Retailers Are Using AI to Measure In-Store Shopper Behavior
- AIR-055: Compact Multimodal Vision AI System Powered by Qualcomm Dragonwing IQ9
- Machine learning model deployment
- MLOps Solutions for Production Machine Learning
- Lessons From Building an Edge ML System for Tennis Swing Detection
- Can We Watch a Neural Network Think ??
- The Unreasonable Effectiveness of Recurrent Neural Networks
- Canny Edge Detection in Computer Vision
- LangChain trains custom models for LangSmith Engine with Baseten Loops
- AdaBoost Explained: How Weak Models Become Strong by Focusing on Mistakes
- 6 AI-powered audience segmentation tools worth evaluating in 2026
- 5 Free Microsoft GitHub Courses to Learn Data Science and Artificial Intelligence
- How Does AI Image Detection Work?
- Scaling ML Model Inference through architectural separation
- Moonshot AI Launches Kimi K2.8 Preview Multimodal Model
- Predicting Solar Power Plant Output from Weather: A From-Scratch Linear Regression Approach
- What Is an LLM Model Registry and How Is It Different from an ML Model Registry?
- What If the Adaptation Were a Model? ShadowPEFT in 🤗 PEFT library
Videos
- AI & Machine Learning: The Foundation Behind Every AI Solution
- From demo to defensible: governing GxP AI at scale with Good Machine Learning Practice (GMLP)
- Deep Learning for Next-Generation Geodemographic Classification | Alex Singleton | Uni. of Liverpool
- MLOps 101: Platforms and Processes for Building AI | NVIDIA GTC
- Intro to Quant Trading | Machine Learning
- Canonical’s open source portfolio, explained
- Meet Bob: An AI-Powered IDE for Modern Software Development
- Splunk AI: Digitale Resilienz durch künstliche Intelligenz (KI) und Machine Learning (ML)
- Interactive: Turn AI Experiments into Real Software ft. Evan Shortiss (E7)
- What is Genesys Cloud AI? | Orchestrate personalized experiences with AI
- AI and CX: How to redefine the future of customer experience
- How to Add a Custom LLM Integration to Galileo
Podcasts
- Practical AI
- Data Skeptic
- TWIML AI Podcast
- Super Data Science
- Gradient Dissent
- The Data Exchange
- ML Street Talk
- Adventures in Machine Learning
- Linear Digressions
- Machine Learning Guide
- Talking Machines
Recent episodes
- The Future of Data Engineering in the Age of AI | Erfan Hesami
- Episode 416: Steam Frame Reviews Hit, Pop OS/Cosmic Testing & More
- How Physical AI Learns Across Language, Video and Action — Ming-Yu Liu
- Closing the Gap Between Commercial Plans and What Happens on the Shelf - with Stephanie Lilley of Reckitt
- IATI Director Yemesrach Workie on Making Open Data Sharing a Priority in the AI Era
- The factory gets darker, Meta migrates to Slack, and throwing 10,000 PhDs at math problems
- Can AI help us better predict the weather?
- How Open-Source is Reshaping the AI Infrastructure Stack
- Finding Potholes Before They Form With AI and Univrses
- NVIDIA acquires Hugging Face, OpenClaw 2.0 goes multiplayer, and the Linux kernel fights back against AI scrapers
- Is Astra AGI?
- How to build a secure-by-default AI coding agent