ml5 - A friendly machine learning library for the web.
ml5.js aims to make machine learning approachable for a broad audience of artists, creative coders, and students. The library provides access to machine learning algorithms and models in the browser, building on top of TensorFlow.js with no other external dependencies.
What is Machine Learning? | IBM
Machine learning is the subset of AI focused on algorithms that analyze and “learn” the patterns of training data in order to make accurate inferences about new data.
Distilling the Knowledge in a Neural Network
Our teams advance the state of the art through research, systems engineering, and collaboration across Google.
Introducing beginners to the mechanics of machine learning – Miriam Posner
Every year, I spend some time introducing students to the mechanics of machine learning with neural nets. I definitely don’t go into great depth; I usually only have one class for this. But I try to unpack at least some of the major concepts, so that ML isn’t quite such a black box.
Designing machine learning systems: an iterative process for production-ready applications
"Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they're data dependent, with data varying wildly from one use case to the next. In this book, you'll learn a holistic approach to designing ML systems that are reliable, scalable, maintainable, and adaptive to changing environments and business requirements. Author Chip Huyen, co-founder of Claypot AI, considers each design decision--such as how to process and create training data, which features to use, how often to retrain models, and what to monitor--in the context of how it can help your system as a whole achieve its objectives. The iterative framework in this book uses actual case studies backed by ample references."--Amazon.com
The interplay between machine learning and data minimization under the GDPR: the case of Google’s topics API
The rapid speed of digitalization and the continuous technological disruption have lead to different paradoxes and contradictions. With the widespread adop
What Are Machine Learning Algorithms? | IBM
A machine learning algorithm is the procedure and mathematical logic through which an AI model learns patterns in training data and applies to them to new data.
Google for Developers Blog - News about Web, Mobile, AI and Cloud
Introducing Gemma 3n – the latest Google open model for accessible AI, featuring unique flexibility, privacy, and expanded multimodal capabilities on mobile devices.
Google Firebase Studio for AI app development (FREE)
Personalized Machine Learning
This page contains collects information and supplementary material for my textbook Personalized Machine Learning:
Machine Learning vs AI: Differences, Uses, & Benefits
Machine learning is a subset of AI focused on algorithms enabling computers to learn and make predictions without being programmed.
The 2026 Developer's Guide to Free Google Cloud Credits (For AI & Side Projects)
If you’re a beginner or developer who wants to pursue a career in AI in 2026, you can’t ignore the...
The Roadmap of Mathematics for Machine Learning
A complete guide to linear algebra, calculus, and probability theory
I'm creating a series of short form videos about how language models work technically. The goal is to be something in between "you know it's next token prediction" and "now you've taken a machine learning class." I'd love your thoughts so here are the first few! 🧵 youtube.com/shorts/VZB8XCcyllE
How does ChatGPT work? Or rather, language models in general- Part 1 attempting a lay explanation.
www.youtube.com
