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 · Learning objectives: Explain a loss function and how it works. Define and describe how gradient descent finds the optimal model parameters. Describe how to tune …

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

Aug 25, 2025 · 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. …

Aug 25, 2025 · This short self-study course introduces fundamental machine learning concepts. If you are new to NumPy, do the NumPy Ultraquick Tutorial Colab exercise, which provides all …

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

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

Aug 25, 2025 · Learning objectives Explain the motivation for building neural networks, and the use cases they address. Define and explain the function of the key components of a deep …

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 · “Choose a model” is not a formal step of the traditional machine learning workflow; however, selecting an appropriate model for your problem is a critical task that clarifies and …