- Model Evaluation
- Data Governance
- Responsible AI
- AI Enablement
- Machine Learning
- Business Analysis
- Model Deployment
- Data Ethics
- Data Strategy
- Feasibility Studies
- Innovation
- Applied Machine Learning
Managing Machine Learning Projects with Google Cloud
Completed by ALEKSANDR ALEKSANDROVICH BRIUKHANOV
May 10, 2020
13 hours (approximately)
ALEKSANDR ALEKSANDROVICH BRIUKHANOV'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
