Machine Learning in Production
Completed by Gerasimos Vrazalis
December 24, 2024
11 hours (approximately)
Gerasimos Vrazalis'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: Model Training
- Category: Data Preprocessing
- Category: Data Maintenance
- Category: Continuous Monitoring
- Category: Model Evaluation
- Category: Data Synthesis
- Category: Machine Learning
- Category: Data Integrity
- Category: Data Validation
- Category: Data Quality
- Category: Applied Machine Learning
- Category: Continuous Deployment
