Machine Learning in Production
Completed by Nithya Subramaniam
December 1, 2021
11 hours (approximately)
Nithya Subramaniam'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 Deployment
- Category: Data Quality
- Category: Data Integrity
- Category: Data Synthesis
- Category: Data Collection
- Category: Application Deployment
- Category: Data Preprocessing
- Category: Data Maintenance
- Category: Model Evaluation
- Category: Applied Machine Learning
- Category: System Monitoring
- Category: Model Optimization
