Machine Learning in Production
Completed by Aleksander Nagaj
November 7, 2022
11 hours (approximately)
Aleksander Nagaj'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 Monitoring
- Category: Data Quality
- Category: Model Training
- Category: Applied Machine Learning
- Category: Unstructured Data
- Category: Data Integrity
- Category: Data Synthesis
- Category: Model Evaluation
- Category: Data Collection
- Category: Data Validation
- Category: Data Preprocessing
- Category: Data Maintenance
