Machine Learning in Production
Completed by Asvataman Venkatesan
May 12, 2023
11 hours (approximately)
Asvataman Venkatesan'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: Machine Learning
- Category: Applied Machine Learning
- Category: Continuous Deployment
- Category: Feature Engineering
- Category: Cloud Deployment
- Category: Model Deployment
- Category: Data Validation
- Category: Data Pipelines
- Category: Data Preprocessing
- Category: Model Evaluation
- Category: Data Quality
- Category: Continuous Monitoring
