Production Machine Learning Systems
Completed by 창민 최
July 2, 2019
14 hours (approximately)
창민 최'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: Dependency Analysis
- Category: Applied Machine Learning
- Category: Hybrid Cloud Computing
- Category: Data Pipelines
- Category: Model Training
- Category: Systems Design
- Category: Google Cloud Platform
- Category: Model Optimization
- Category: Performance Tuning
- Category: MLOps (Machine Learning Operations)
- Category: Model Deployment
