Machine Learning Crash Course - Google Developers
Machine Learning Crash Course Google's fast-paced, practical introduction to machine learning, featuring a series of lessons with video lectures, interactive visualizations, and hands-on practice exercises.
Linear regression | Machine Learning | Google for Developers
Oct 9, 2024 · This course module teaches the fundamentals of linear regression, including linear equations, loss, gradient descent, and hyperparameter tuning. Machine Learning ML Concepts
Prerequisites and prework | Machine Learning - Google Developers
Oct 9, 2024 · While Machine Learning Crash Course includes several programming exercises that use ML libraries such as numpy, pandas, and Keras, it is primarily focused on teaching ML concepts, and does not teach ML APIs in depth. For additional Keras resources, see the Keras Developer guides.
Machine Learning | Google for Developers
A hands-on course to explore the critical basics of machine learning. Problem Framing A course to help you map real-world problems to machine learning solutions.
Linear regression: Gradient descent | Machine Learning | Google …
Nov 8, 2024 · Gradient descent is a mathematical technique that iteratively finds the weights and bias that produce the model with the lowest loss. Gradient descent finds the best weight and bias by repeating the following process for a number of user-defined iterations. The model begins training with randomized weights and biases near zero, and then repeats the following steps:
Fairness | Machine Learning | Google for Developers
Jan 3, 2025 · This course module teaches key principles of ML Fairness, including types of human bias that can manifest in ML models, identifying and mitigating these biases, and evaluating for these biases using metrics including demographic parity, equality of opportunity, and counterfactual fairness.
Production ML systems: When to transform data?
Oct 9, 2024 · Learn when it makes sense to transform raw data for production ML systems before training and when it makes sense to do it during training. Machine Learning ML Concepts
Machine Learning | Google for Developers
Od 2018 roku miliony osób na całym świecie skorzystały z filmu „Machine Learning Crash Course”, aby dowiedzieć się, jak działają systemy uczące się i jak mogą one pomóc w ich wykorzystaniu.
Neural networks | Machine Learning | Google for Developers
Oct 9, 2024 · This course module teaches the basics of neural networks: the key components of neural network architectures (nodes, hidden layers, activation functions), how neural network inference is performed, how neural networks are trained using backpropagation, and how neural networks can be used for multi-class classification problems.
Exercises | Machine Learning | Google for Developers
Sep 26, 2024 · This page lists the exercises in Machine Learning Crash Course. Programming exercises run directly in your browser (no setup required!) using the Colaboratory platform. Colaboratory is supported on most major browsers, and is most thoroughly tested on desktop versions of Chrome and Firefox.