- AI Enablement
- Image Analysis
- Responsible AI
- Innovation
- Google Cloud Platform
- Business Analysis
- Machine Learning
- Model Evaluation
- Applied Machine Learning
- Feasibility Studies
- Data Ethics
- Model Deployment
Managing Machine Learning Projects with Google Cloud
Completed by Raul Santos Chañe Muñoz
July 24, 2020
13 hours (approximately)
Raul Santos Chañe Muñoz's account is verified. Coursera certifies their successful completion of Managing Machine Learning Projects with Google Cloud
What you will learn
Explore common machine learning use cases implemented by businesses.
Assess the feasibility of your own ML use case and its ability to meaningfully impact your business.
Identify the requirements to build, train, and evaluate an ML model.
Define data characteristics and biases that affect the quality of ML models and recognize key considerations for managing ML projects.
Skills you will gain
