Production Machine Learning Systems
Completed by 대희 김
July 3, 2019
14 hours (approximately)
대희 김's account is verified. Coursera certifies their successful completion of Production Machine Learning Systems
What you will learn
Compare static versus dynamic training and inference
Manage model dependencies
Set up distributed training for fault tolerance, replication, and more
Export models for portability
Skills you will gain
- Category: Machine Learning Methods
- Category: Applied Machine Learning
- Category: Machine Learning
- Category: Tensorflow
- Category: Model Training
- Category: MLOps (Machine Learning Operations)
- Category: Model Deployment
- Category: Dependency Analysis
- Category: Hybrid Cloud Computing
- Category: Performance Tuning
- Category: Data Pipelines
- Category: Model Optimization
