Machine Learning in Production
Completed by Gabriel Soares Xavier
July 10, 2023
11 hours (approximately)
Gabriel Soares Xavier'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: System Monitoring
- Category: Machine Learning
- Category: Data Quality
- Category: Data Integrity
- Category: Unstructured Data
- Category: Application Deployment
- Category: Model Training
- Category: Data Collection
- Category: Data Validation
- Category: Continuous Deployment
- Category: Applied Machine Learning
- Category: Model Optimization
