Machine Learning in Production
Completed by Raajesh Laguduva Rameshbabu
November 20, 2023
11 hours (approximately)
Raajesh Laguduva Rameshbabu'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 Evaluation
- Category: Data Collection
- Category: Unstructured Data
- Category: Model Deployment
- Category: Model Optimization
- Category: Application Deployment
- Category: System Monitoring
- Category: Machine Learning
- Category: Data Synthesis
- Category: Applied Machine Learning
- Category: Data Validation
- Category: Continuous Deployment
