Machine Learning in Production
Completed by Marat Sergeevich Purnyn
July 20, 2022
11 hours (approximately)
Marat Sergeevich Purnyn'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: System Monitoring
- Category: Machine Learning
- Category: Data Quality
- Category: Unstructured Data
- Category: Data Integrity
- Category: Data Synthesis
- Category: Model Training
- Category: Applied Machine Learning
- Category: Model Evaluation
- Category: Data Collection
- Category: Data Validation
- Category: Model Deployment
