Machine Learning in Production
Completed by Ahmet Guelmez
June 27, 2023
11 hours (approximately)
Ahmet Guelmez'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: Continuous Deployment
- Category: Data Integrity
- Category: Model Evaluation
- Category: Data Quality
- Category: Machine Learning
- Category: MLOps (Machine Learning Operations)
- Category: Data Validation
- Category: Data Maintenance
- Category: Data Collection
- Category: Model Training
- Category: Data Synthesis
- Category: Model Deployment
