About Google Machine Learning
Google for Developers hosts a set of machine learning courses and guides. They range from a brief introduction to advanced topics such as recommendation systems and generative adversarial networks.
What it does
The foundational courses cover core machine learning ideas and how to frame a real problem as a machine learning task. Advanced courses are independent, so you can take the ones that match your interest. The guides offer step-by-step walkthroughs for common problems, such as text classification and tuning deep learning models, along with a set of practical rules used at Google.
Key features
- Foundational courses in a recommended order
- Advanced courses on decision forests and clustering
- Hands-on Machine Learning Crash Course
- Guides on text classification and deep learning tuning
- Responsible AI guide on fairness and privacy
Who it's for
Developers and engineers starting with machine learning, and product or design teams working on AI features who want practical guidance on design choices.
Pricing and good to know
The materials are free to read on Google's developer site. The People and AI Guidebook is written for UX, product and engineering teams working together on AI design.
Highlights
- Foundational courses in a recommended order
- Advanced courses on decision forests and clustering
- Hands-on Machine Learning Crash Course
- Guides on text classification and deep learning tuning
- Responsible AI guide on fairness and privacy
