Machine Learning in Production
Completed by ASWATH KOLARON
June 24, 2022
11 hours (approximately)
ASWATH KOLARON'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: Machine Learning
- Category: System Monitoring
- Category: Data Collection
- Category: Continuous Deployment
- Category: Data Maintenance
- Category: Data Quality
- Category: Unstructured Data
- Category: Data Integrity
- Category: MLOps (Machine Learning Operations)
- Category: Data Synthesis
- Category: Model Training
