- Image Analysis
- Business Analysis
- Feasibility Studies
- Data Governance
- Google Cloud Platform
- Innovation
- AI Enablement
- Machine Learning
- Applied Machine Learning
- Responsible AI
- Data Ethics
- Model Deployment
Managing Machine Learning Projects with Google Cloud
Completed by Lars Henrik Dæhli Skjolding
May 26, 2020
13 hours (approximately)
Lars Henrik Dæhli Skjolding'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
