MLOps Engineering at Scale av Carl Osipov

423,-

Kjøp

<div><div> Deploying a machine learning model into a fully realized production system usually requires painstaking work by an operations team creating and managing custom servers. <span> </span><i>Cloud Native Machine Learning</i><span> </span>helps you bridge that gap by using the pre-built services provided by cloud platforms like Azure and AWS to assemble your ML system¿s infrastructure. Following a real-world use case for calculating taxi fares, you¿ll learn how to get a serverless ML pipeline up and running using AWS services. Clear and detailed tutorials show you how to develop reliable, flexible, and scalable machine learning