Machine Learning in Production
Completed by Vincent GUERIN
September 22, 2021
11 hours (approximately)
Vincent GUERIN'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 Validation
- Category: Data Quality
- Category: Debugging
- Category: Applied Machine Learning
- Category: Cloud Deployment
- Category: Machine Learning
- Category: Feature Engineering
- Category: Model Deployment
- Category: Data Preprocessing
- Category: Model Evaluation
- Category: Data Pipelines
- Category: Continuous Monitoring
