- Image Analysis
- Business Analysis
- Model Deployment
- Applied Machine Learning
- Machine Learning
- Data Governance
- Data Ethics
- Data Strategy
- Model Evaluation
- Feasibility Studies
- Google Cloud Platform
- Responsible AI
Managing Machine Learning Projects with Google Cloud
Completed by Gideon Tay Yee Chuen
April 9, 2020
13 hours (approximately)
Gideon Tay Yee Chuen'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
