Machine Learning in Production
Completed by Omid Sadeghnezhad
April 10, 2023
11 hours (approximately)
Omid Sadeghnezhad'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 Quality
- Category: Continuous Monitoring
- Category: Machine Learning
- Category: Model Optimization
- Category: System Monitoring
- Category: Unstructured Data
- Category: Data Integrity
- Category: Application Deployment
- Category: Model Training
- Category: Data Synthesis
- Category: Continuous Deployment
- Category: MLOps (Machine Learning Operations)
