Machine Learning in Production
Completed by Alejandro Juárez Toribio
February 8, 2023
11 hours (approximately)
Alejandro Juárez Toribio'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 Preprocessing
- Category: Data Quality
- Category: Unstructured Data
- Category: Data Integrity
- Category: MLOps (Machine Learning Operations)
- Category: Machine Learning
- Category: Data Validation
- Category: Model Optimization
- Category: System Monitoring
- Category: Applied Machine Learning
- Category: Data Synthesis
- Category: Model Training
