- Applied Machine Learning
- Responsible AI
- AI Product Strategy
- Feasibility Studies
- Project Management Life Cycle
- Business Priorities
- Machine Learning
- Business Analysis
- Data Governance
- Data Ethics
- Innovation
- Data Strategy
Managing Machine Learning Projects with Google Cloud
Completed by Carlos Arturo Gonzalez Meyberg
June 28, 2019
13 hours (approximately)
Carlos Arturo Gonzalez Meyberg'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
