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Machine studying system design is complicated. The profitable ML engineer must navigate a multistep course of that calls for expertise from many various fields and roles.
Machine Studying System Design: With end-to-end examples is a sensible information for planning and designing profitable ML purposes. It lays out a transparent, repeatable framework for constructing, sustaining, and enhancing methods at any scale.
Authors Arseny Kravchenko and Valeri Babushkin have stuffed this distinctive handbook with campfire tales and private suggestions from their very own in depth careers. You’ll study straight from their expertise as you take into account each aspect of a machine studying system, from necessities gathering and information sourcing to deployment and administration of the completed system.
« This isn’t about MLOps! This ebook is a few extra necessary query: easy methods to guarantee that an ML challenge doesn’t find yourself on the shelf? »
—Boris Tseytlin, Senior Machine Studying Engineer, Planet Farms
Within the ebook you’ll observe two instance firms every constructing a brand new ML system, exploring how their wants are expressed in design paperwork and studying finest practices by writing your individual. Alongside the way in which, you’ll learn to ace ML system design interviews, even at extremely aggressive FAANG-like firms, and enhance current ML methods by figuring out bottlenecks and optimizing system efficiency.
Machine Studying System Design is offered from its writer Manning Publications.
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