Machine Learning in Production
Completed by Costin Sandru
January 25, 2023
11 hours (approximately)
Costin Sandru'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: Data Preprocessing
- Category: Data Synthesis
- Category: Applied Machine Learning
- Category: Application Deployment
- Category: Continuous Monitoring
- Category: Data Validation
- Category: MLOps (Machine Learning Operations)
- Category: Data Maintenance
- Category: Data Integrity
- Category: Model Evaluation
- Category: Data Collection
