{
"item_title" : "Optimizing Machine Learning Models for Deployment",
"item_author" : [" Brian Ho "],
"item_description" : "Are you struggling to make your machine learning models faster, cheaper, and more scalable for production? Whether you're an AI practitioner, data scientist, or engineer, this book is your ultimate guide to bridging the gap between research prototypes and real-world deployment.In Optimizing Machine Learning Models for Deployment, you'll learn how to streamline your AI systems for performance, cost efficiency, and reliability. This comprehensive guide demystifies the tools, techniques, and workflows needed to optimize your models and infrastructure, no matter your deployment environment.",
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Overview
Are you struggling to make your machine learning models faster, cheaper, and more scalable for production? Whether you're an AI practitioner, data scientist, or engineer, this book is your ultimate guide to bridging the gap between research prototypes and real-world deployment.
In Optimizing Machine Learning Models for Deployment, you'll learn how to streamline your AI systems for performance, cost efficiency, and reliability. This comprehensive guide demystifies the tools, techniques, and workflows needed to optimize your models and infrastructure, no matter your deployment environment.
This item is Non-Returnable
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Details
- ISBN-13: 9798305668292
- ISBN-10: 9798305668292
- Publisher: Independently Published
- Publish Date: January 2025
- Dimensions: 9 x 6 x 0.25 inches
- Shipping Weight: 0.37 pounds
- Page Count: 118
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