Distributed Machine Learning with Python: Accelerating model training and serving with distributed systems

Build and deploy an efficient data processing pipeline for machine learning model training in an elastic, in-parallel model training or multi-tenant cluster and cloud

• Accelerate model training and inference with order-of-magnitude time reduction
• Learn state-of-the-art parallel schemes for both model training and serving
• A detailed study of bottlenecks at distributed model training and serving stages