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

3 days ago · Prerequisites: This module assumes you are familiar with the concepts covered in the following module: Introduction to Machine Learning Linear regression is a statistical technique used …

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. Estimated …

3 days ago · Learn how gradient descent iteratively finds the weight and bias that minimize a model's loss. This page explains how the gradient descent algorithm works, and how to …

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

Create a webpage that uses machine learning directly in the web browser via TensorFlow.js to classify and detect common objects, (yes, including more than one at a time), from a live webcam stream.

Aug 25, 2025 · Shrinkage in gradient boosting is analogous to learning rate in neural networks. Shrinkage controls how fast the strong model is learning, which helps limit overfitting.

3 days ago · 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 …

Aug 25, 2025 · If you are new to ML, we recommend Introduction to Machine Learning. If you are trying to decide whether to use ML to solve a problem, Introduction to Machine Learning Problem Framing …