Machine Learning in Production
Completed by Eeshaan Tivari
August 8, 2023
11 hours (approximately)
Eeshaan Tivari'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: Machine Learning
- Category: System Monitoring
- Category: Continuous Monitoring
- Category: Data Quality
- Category: Data Synthesis
- Category: Model Training
- Category: Unstructured Data
- Category: Data Integrity
- Category: MLOps (Machine Learning Operations)
- Category: Application Deployment
- Category: Applied Machine Learning
- Category: Model Deployment
