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

Dec 9, 2025 · This course module teaches the fundamentals of linear regression, including linear equations, loss, gradient descent, and hyperparameter tuning.

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

Aug 25, 2025 · 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 NumPy, do the …

Aug 25, 2025 · This page lists the exercises in Machine Learning Crash Course. Programming exercises run directly in your browser (no setup required!) using the Colaboratory platform.

Aug 25, 2025 · bookmark_border Welcome to Introduction to Machine Learning. This course introduces machine learning (ML) concepts. This course does not cover how to implement ML or work with data. …

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

Aug 25, 2025 · During training of a neural network, the model automatically learns the optimal feature crosses to perform on the input data to minimize loss. In the following sections, we'll take a closer …

Simple step-by-step walkthroughs to solve common machine learning problems using best practices.

Aug 25, 2025 · Learn how to code a linear regression model in Google Colab using the Keras library by completing this programming exercise.