Deploying a machine learning application on a modern distributed system puts the spotlight on reliability, performance, security, and other operational concerns. In this in-depth guide, Yuan Tang, project lead of Argo and Kube-flow, shares patterns, examples, and hard-won insights on taking an ML model from a single device to a distributed cluster. Distributed machine learning patterns provides dozens of techniques for designing and deploying distributed machine learning systems. In it, you'll learn patterns for distributed ...
Read More
Deploying a machine learning application on a modern distributed system puts the spotlight on reliability, performance, security, and other operational concerns. In this in-depth guide, Yuan Tang, project lead of Argo and Kube-flow, shares patterns, examples, and hard-won insights on taking an ML model from a single device to a distributed cluster. Distributed machine learning patterns provides dozens of techniques for designing and deploying distributed machine learning systems. In it, you'll learn patterns for distributed model training, managing unexpected failures, and dynamic model serving. You'll appreciate the practical examples that accompany each pattern along with a full-scale project that implements distributed model training and inference with autoscaling on Kubernetes.
Read Less
Add this copy of Distributed Machine Learning Patterns to cart. $42.69, good condition, Sold by BooksRun rated 5.0 out of 5 stars, ships from Philadelphia, PA, UNITED STATES, published 2024 by Manning.
Add this copy of Distributed Machine Learning Patterns to cart. $82.65, good condition, Sold by Bonita rated 4.0 out of 5 stars, ships from Santa Clarita, CA, UNITED STATES, published 2024 by Manning.
