Google's fast-paced, practical introduction to machine learning, featuring a series of animated videos, interactive visualizations, and hands-on practice exercises.

Aug 25, 2025 · Prerequisites: This module assumes you are familiar with the concepts covered in the following module: Introduction to Machine Learning Linear regression is a statistical …

Machine Learning Crash Course A hands-on course to explore the critical basics of machine learning.

Aug 25, 2025 · Machine learning (ML) is the field of study of programs or systems that trains models to make predictions from input data. ML powers some of the technologies that have …

Machine Learning Crash Course A hands-on course to explore the critical basics of machine learning.

Aug 25, 2025 · Please read through the following Prework and Prerequisites sections before beginning Machine Learning Crash Course, to ensure you are prepared to complete all the …

Sep 17, 2025 · 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 …

Nov 3, 2025 · Learn how to calculate three key classification metrics—accuracy, precision, recall—and how to choose the appropriate metric to evaluate a given binary classification model.

Aug 25, 2025 · Introduction to Machine Learning Problem Framing teaches you how to determine if machine learning (ML) is a good approach for a problem and explains how to outline an ML …

Aug 25, 2025 · By adding the feature cross x1x2, the linear model can learn a hyperbolic shape that separates the blue dots from the orange dots. Now consider the following dataset: