- Machine Learning
- Applied Machine Learning
- Responsible AI
- Data Governance
- Business Analysis
- Model Evaluation
- Feasibility Studies
- Data Strategy
- AI Enablement
- Innovation
- Google Cloud Platform
- Model Deployment
Managing Machine Learning Projects with Google Cloud
Completed by Dione Xavier Dias
June 20, 2020
13 hours (approximately)
Dione Xavier Dias '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
