Morgan Kaufmann - save 20%
Since 1984, Morgan Kaufmann has published the finest technical information resources for computer and engineering professionals. We publish in book and digital form in such areas as databases, computer networking, human computer interaction, computer graphics, artificial intelligence, computer systems, and software engineering. Now we are proud to offer ACM members a 20% discount off our list prices. When ordering, please have your ACM member number ready and reference the promotional code: 96483.
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Outside North America 1-314-453-7010 or 1-800-460-3110
Written by leading domain experts for software engineers, ACM Case Studies provide an in-depth look at how software teams overcome specific challenges by implementing new technologies, adopting new practices, or a combination of both. Often through first-hand accounts, these pieces explore what the challenges were, the tools and techniques that were used to combat them, and the solution that was achieved.
ACM Queue’s “Research for Practice” is your number one resource for keeping up with emerging developments in the world of theory and applying them to the challenges you face on a daily basis. In this installment, Dan Crankshaw and Joey Gonzalez provide an overview of machine learning server systems. What happens when we wish to actually deploy a machine learning model to production, and how do we serve predictions with high accuracy and high computational efficiency? Dan and Joey’s curated research selection presents cutting-edge techniques spanning database-level integration, video processing, and prediction middleware. Given the explosion of interest in machine learning and its increasing impact on seemingly every application vertical, it's possible that systems such as these will become as commonplace as relational databases are today.
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