Machine Learning Crash Course - Google Developers
Google's fast-paced, practical introduction to machine learning, featuring a series of lessons with video lectures, interactive visualizations, and hands-on practice exercises.
Machine Learning | Google for Developers
The advanced courses teach tools and techniques for solving a variety of machine learning problems. The courses are structured independently. Take them based on interest or problem domain.
What is Machine Learning? | Google for Developers
May 14, 2024 · Machine learning (ML) powers some of the most important technologies we use, from translation apps to autonomous vehicles. This course explains the core concepts behind ML. ML offers a new way to solve problems, answer complex questions, and create new content.
Linear regression | Machine Learning | Google for Developers
Oct 9, 2024 · Introduction to Machine Learning; Linear regression is a statistical technique used to find the relationship between variables. In an ML context, linear regression finds the relationship between features and a label.
Machine Learning | Resources | Google for Developers
New to machine learning, generative AI, or red teaming? This site provides resources to help you get started.
Machine Learning | Google for Developers
Learn how to manage machine learning projects. Discover courses about machine learning fundamentals and core concepts.
ML Universal Guides | Google for Developers
Our guides offer simple step-by-step walkthroughs for solving common machine learning problems using best practices.
ML Kit | Google for Developers
ML Kit brings Google’s machine learning expertise to mobile developers in a powerful and easy-to-use package. Make your iOS and Android apps more engaging, personalized, and helpful with solutions that are optimized to run on device.
Linear regression: Hyperparameters | Machine Learning | Google …
Oct 9, 2024 · Learn how to tune the values of several hyperparameters—learning rate, batch size, and number of epochs—to optimize model training using gradient descent. Machine Learning ML Concepts
Supervised Learning | Machine Learning | Google for Developers
May 14, 2024 · In supervised learning, a model is the complex collection of numbers that define the mathematical relationship from specific input feature patterns to specific output label values. The model discovers these patterns through training.