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
Our guides offer simple step-by-step walkthroughs for solving common machine learning problems using best practices.
Introduction to Machine Learning | Google for Developers
Sep 12, 2023 · Understand the different types of machine learning. Understand the key concepts of supervised machine learning. Learn how solving problems with ML is different from …
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 …
Prerequisites and prework | Machine Learning - Google Developers
Oct 9, 2024 · If you're new to machine learning, take Introduction to Machine Learning. This short self-study course introduces fundamental machine learning concepts. If you are new to …
Introduction to Large Language Models | Machine Learning
Sep 6, 2024 · Interested in a more in-depth introduction to large language models? Check out the new Large language models module in Machine Learning Crash Course.
Embeddings | Machine Learning | Google for Developers
Oct 9, 2024 · You want to develop a machine learning (ML) model that can predict food similarity, so your app can make high quality recommendations ("Since you like pancakes, we …
Classification: Accuracy, recall, precision, and related metrics
Nov 8, 2024 · Note: In machine learning (ML), words like recall, precision, and accuracy have mathematical definitions that may differ from, or be more specific than, more commonly used …
Machine Learning | Google for Developers
Discover advanced courses about tools and techniques for solving machine learning problems.
Neural networks | Machine Learning | Google for Developers
Oct 9, 2024 · Estimated module length: 75 minutes Learning objectives. Explain the motivation for building neural networks, and the use cases they address. Define and explain the function of …