Machine Learning in Production
Completed by nipun bhaskar
January 7, 2022
11 hours (approximately)
nipun bhaskar'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: Model Optimization
- Category: Machine Learning
- Category: Model Evaluation
- Category: Data Preprocessing
- Category: MLOps (Machine Learning Operations)
- Category: Continuous Deployment
- Category: Data Quality
- Category: Data Synthesis
- Category: Data Validation
- Category: System Monitoring
- Category: Data Integrity
- Category: Continuous Monitoring
