Machine Learning in Production
Completed by Debajyoti Debashis Majumdar
June 13, 2021
11 hours (approximately)
Debajyoti Debashis Majumdar's account is verified. Coursera certifies their successful completion of Machine Learning in Production
What you will learn
Identify key components of the ML project lifecycle, pipeline & select the best deployment & monitoring patterns for different production scenarios.
Optimize model performance and metrics by prioritizing disproportionately important examples that represent key slices of a dataset.
Solve production challenges regarding structured, unstructured, small, and big data, how label consistency is essential, and how you can improve it.
Skills you will gain
- Category: Continuous Monitoring
- Category: Data Quality
- Category: Data Preprocessing
- Category: Data Maintenance
- Category: System Monitoring
- Category: Unstructured Data
- Category: Data Validation
- Category: Application Deployment
- Category: Continuous Deployment
- Category: Machine Learning
- Category: Model Deployment
- Category: Applied Machine Learning
