Machine Learning in Production
Completed by Isabela Dellalibera Piccinini
November 2, 2021
11 hours (approximately)
Isabela Dellalibera Piccinini'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: Data Quality
- Category: Data Maintenance
- Category: MLOps (Machine Learning Operations)
- Category: Model Deployment
- Category: Machine Learning
- Category: System Monitoring
- Category: Model Training
- Category: Unstructured Data
- Category: Data Integrity
- Category: Data Synthesis
- Category: Application Deployment
