Machine Learning in Production
Completed by Yash Alpeshkumar Joshi
July 23, 2024
11 hours (approximately)
Yash Alpeshkumar Joshi'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 Training
- Category: Unstructured Data
- Category: Data Synthesis
- Category: Continuous Deployment
- Category: Data Integrity
- Category: MLOps (Machine Learning Operations)
- Category: Model Optimization
- Category: System Monitoring
- Category: Machine Learning
- Category: Application Deployment
- Category: Data Quality
- Category: Applied Machine Learning
