Machine Learning in Production
Completed by VALERII LAKHNO
February 1, 2023
11 hours (approximately)
VALERII LAKHNO'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 Training
- Category: Model Evaluation
- Category: System Monitoring
- Category: Data Quality
- Category: Data Maintenance
- Category: MLOps (Machine Learning Operations)
- Category: Data Collection
- Category: Data Preprocessing
- Category: Data Validation
- Category: Application Deployment
- Category: Data Synthesis
- Category: Applied Machine Learning
