- Data Ethics
- Image Analysis
- AI Enablement
- Business Analysis
- Data Governance
- Machine Learning
- Innovation
- Model Evaluation
- Model Deployment
- Data Strategy
- Responsible AI
- Applied Machine Learning
Managing Machine Learning Projects with Google Cloud
Completed by CARLOS ALFONSO MENDOZA TORRES
June 29, 2020
13 hours (approximately)
CARLOS ALFONSO MENDOZA TORRES'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
