Machine Learning in Production
Completed by Anthony Emanoel de Albuquerque Jatobá
May 30, 2021
11 hours (approximately)
Anthony Emanoel de Albuquerque Jatobá'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: Data Collection
- Category: System Monitoring
- Category: Data Integrity
- Category: Unstructured Data
- Category: Model Training
- Category: Data Synthesis
- Category: Model Optimization
- Category: Machine Learning
- Category: Data Validation
- Category: Data Quality
- Category: Continuous Deployment
- Category: Model Evaluation
