Machine Learning Crash Course 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 · This course module teaches the fundamentals of linear regression, including linear equations, loss, gradient descent, and hyperparameter tuning.

Educational resources for machine learning.The advanced courses teach tools and techniques for solving a variety of machine learning problems. The courses are structured independently. …

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. …

Discover courses about machine learning fundamentals and core concepts.

Aug 25, 2025 · This course module teaches the basics of neural networks: the key components of neural network architectures (nodes, hidden layers, activation functions), how neural network …

Aug 25, 2025 · This guide will teach you some key machine learning best practices for solving text classification problems. Here’s what you’ll learn: The high-level, end-to-end workflow for …

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 · Estimated Completion Time: 90–120 minutes Prerequisites Machine Learning Crash Course or equivalent experience with ML fundamentals Proficiency in programming …

Discover advanced courses about tools and techniques for solving machine learning problems.