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"Scalable Machine Learning Architectures: Best Practices for Handling Big Data and Distributed Systems" is the definitive guide for data scientists, machine learning engineers, and architects aiming to build and deploy machine learning systems that can scale seamlessly with the demands of big data and modern distributed systems.
When you click on links to various merchants on this site and make a purchase, this can result in this site earning a commission. Affiliate programs and affiliations include, but are not limited to, the eBay Partner Network.