- Responsible AI
- Data Ethics
- Model Deployment
- Applied Machine Learning
- Google Cloud Platform
- Machine Learning
- Data Governance
- Image Analysis
- Data Strategy
- AI Enablement
- Feasibility Studies
- Model Evaluation
Managing Machine Learning Projects with Google Cloud
Completed by Sneha Singh Bais
August 6, 2020
13 hours (approximately)
Sneha Singh Bais'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
