AI Superstream Series AI & ML in Production

One of the most consistent challenges for ML engineers is how to move from model to production. Join us for a day of sessions dedicated to making the most of AI in your company. You'll learn about everything from scaling to deployment and from pipeline to model decay-straight from our experts....

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Bibliographic Details
Main Authors: Barth, Antje, Chauhan, Geeta (Author), Robinson, Sara (Author), Amadio, Brian (Author)
Format: eBook
Language:English
Published: O'Reilly Media, Inc. 2021
Edition:1st edition
Subjects:
Online Access:
Collection: O'Reilly - Collection details see MPG.ReNa
Description
Summary:One of the most consistent challenges for ML engineers is how to move from model to production. Join us for a day of sessions dedicated to making the most of AI in your company. You'll learn about everything from scaling to deployment and from pipeline to model decay-straight from our experts. About the AI Superstream Series: This four-part series of half-day online events is packed with insights from some of the brightest minds in AI. You'll get a deeper understanding of the latest tools and technologies that can help keep your organization competitive, and learn to leverage AI to drive real business results. What you'll learn-and how you can apply it Understand how MLOps can help you evolve from manually building models Learn how to use PyTorch to effectively deploy and scale your AI models Explore design patterns that will help you tackle problems that frequently crop up during the ML process This Superstream is for you because ... You want to learn more about moving machine learning from model to production. You want to better understand MLOps. You're interested in improving your skills in scaling, model monitoring, and deployment. Prerequisites Come with your questions Have a pen and paper handy to capture notes, insights, and inspiration
Item Description:Made available through: Safari, an O'Reilly Media Company
Physical Description:1 video file, approximately 3 hr., 25 min.