Machine Learning in Production
Completed by Boris Ilin
November 7, 2021
11 hours (approximately)
Boris Ilin'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: Applied Machine Learning
- Category: Model Evaluation
- Category: Data Collection
- Category: Data Validation
- Category: Data Synthesis
- Category: Model Training
- Category: Data Integrity
- Category: Data Preprocessing
- Category: Unstructured Data
- Category: Model Deployment
- Category: Continuous Deployment
- Category: Continuous Monitoring
