Machine Learning in Production
Completed by Kevin Kohler
July 27, 2023
11 hours (approximately)
Kevin Kohler'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: Cloud Deployment
- Category: Data Pipelines
- Category: Debugging
- Category: Model Deployment
- Category: Feature Engineering
- Category: Applied Machine Learning
- Category: Data Quality
- Category: Continuous Monitoring
- Category: Continuous Deployment
- Category: MLOps (Machine Learning Operations)
- Category: Data Preprocessing
- Category: Data Validation
