Machine Learning in Production
Completed by Roberto Della Penna
October 29, 2023
11 hours (approximately)
Roberto Della Penna'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: Data Quality
- Category: Model Training
- Category: Applied Machine Learning
- Category: Data Integrity
- Category: Unstructured Data
- Category: MLOps (Machine Learning Operations)
- Category: Data Preprocessing
- Category: Data Maintenance
- Category: Continuous Deployment
- Category: Model Optimization
- Category: Application Deployment
- Category: System Monitoring
