Guanhua Wang
Broschiertes Buch

Distributed Machine Learning with Python

Accelerating model training and serving with distributed systems

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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 Key Features:Accelerate model training and interference 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 Book Description: Reducing time cost in machine learning leads to a shorter waiting time for model training and a faster model updating cycle. Distributed machine learning enables m...