Production Machine Learning Systems
Completed by 유상 김
June 30, 2019
14 hours (approximately)
유상 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: Model Evaluation
- Category: Data Validation
- Category: Data Pipelines
- Category: Tensorflow
- Category: Performance Tuning
- Category: MLOps (Machine Learning Operations)
- Category: Hybrid Cloud Computing
- Category: Distributed Computing
- Category: Systems Architecture
- Category: Scalability
- Category: Cloud Deployment
- Category: Data Quality
