Production Machine Learning Systems
Completed by Daeyeol Shim
July 3, 2019
14 hours (approximately)
Daeyeol Shim'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: Tensorflow
- Category: Performance Tuning
- Category: Model Training
- Category: Distributed Computing
- Category: Systems Architecture
- Category: MLOps (Machine Learning Operations)
- Category: Hybrid Cloud Computing
- Category: Applied Machine Learning
- Category: Model Deployment
- Category: Model Optimization
- Category: Dependency Analysis
- Category: Scalability
