Machine Learning in Production
Completed by Arshad Shaikh
October 10, 2022
11 hours (approximately)
Arshad Shaikh'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: Cloud Deployment
- Category: Continuous Deployment
- Category: Model Deployment
- Category: Model Evaluation
- Category: Continuous Monitoring
- Category: Data Pipelines
- Category: Data Quality
- Category: Feature Engineering
- Category: Applied Machine Learning
- Category: Machine Learning
- Category: Data Preprocessing
- Category: Debugging
