Machine Learning in Production
Completed by César Estuardo Guerra Méndez
January 14, 2022
11 hours (approximately)
César Estuardo Guerra Méndez'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: MLOps (Machine Learning Operations)
- Category: Data Quality
- Category: Application Deployment
- Category: Model Training
- Category: Unstructured Data
- Category: Data Integrity
- Category: Model Deployment
- Category: Continuous Deployment
- Category: Model Evaluation
- Category: Data Collection
- Category: Model Optimization
- Category: System Monitoring
