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Paperback. Condición: Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

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Condición: New.

Condición: New.

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Condición: New.

Condición: very_good. Supports Goodwill of Silicon Valley job training programs. The cover and pages are in very good condition! The cover and any other included accessories are also in very good condition showing some minor use. The spine is straight, there are no rips tears or creases on the cover or the pages.…

Condición: As New. Unread book in perfect condition.

Condición: As New. Unread book in perfect condition.

Condición: New. In.

Condición: New. In.

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Condición: New.

Condición: New.

Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: As New. Unread book in perfect condition.

Condición: As New. Unread book in perfect condition.

Paperback. Condición: New. More than half of the analytics and machine learning (ML) models created by organizations today never make it into production. Some of the challenges and barriers to operationalization are technical, but others are organizational. Either way, the bottom line is that models not in production can't provide business impact.This book introduces the key concepts of MLOps to help data scientists and application engineers not only operationalize ML models to drive real business change but also maintain and improve those models over time. Through lessons based on numerous MLOps applications around the world, nine experts in machine learning provide insights into the five steps of the model life cycle--Build, Preproduction, Deployment, Monitoring, and Governance--uncovering how robust MLOps processes can be infused throughout.This book helps you:Fulfill data science value by reducing friction throughout ML pipelines and workflowsRefine ML models through retraining, periodic tuning, and complete remodeling to ensure long-term accuracyDesign the MLOps life cycle to minimize organizational risks with models that are unbiased, fair, and explainableOperationalize ML models for pipeline deployment and for external business systems that are more complex and less standardized.…

Condición: New.

Paperback. Condición: New. More than half of the analytics and machine learning (ML) models created by organizations today never make it into production. Some of the challenges and barriers to operationalization are technical, but others are organizational. Either way, the bottom line is that models not in production can't provide business impact.This book introduces the key concepts of MLOps to help data scientists and application engineers not only operationalize ML models to drive real business change but also maintain and improve those models over time. Through lessons based on numerous MLOps applications around the world, nine experts in machine learning provide insights into the five steps of the model life cycle--Build, Preproduction, Deployment, Monitoring, and Governance--uncovering how robust MLOps processes can be infused throughout.This book helps you:Fulfill data science value by reducing friction throughout ML pipelines and workflowsRefine ML models through retraining, periodic tuning, and complete remodeling to ensure long-term accuracyDesign the MLOps life cycle to minimize organizational risks with models that are unbiased, fair, and explainableOperationalize ML models for pipeline deployment and for external business systems that are more complex and less standardized.…

Taschenbuch. Condición: Neu. Neuware - Jedediah 'Jed' Hawkins, a man as rugged and untamed as the land he traversed. His lean frame spoke of a life spent in constant motion, muscles honed by countless days on horseback and nights beneath the stars. Sun-kissed skin bore witness to his tireless journey, a map of wrinkles and scars etched by wind and time. But it was his eyes, those piercing blue orbs, that marked him as something more than just another drifter. They held within them a depth of knowledge and emotion rarely found in one so young, and a hint of an enigmatic past that seemed to cling to him like a shadow. For in his heart, he carried the indomitable spirit of the frontier - a flame that could never be extinguished, no matter how fierce the storms that raged around him.The conflict between him and Sheriff Blackwood loomed like a storm on the horizon, threatening to change the course of his life forever. But whatever challenges awaited him, he would face them head-on, just as he had always done. Meeting Sara O'Connell, she sensed Jed had found something too - a place of refuge from his solitary past.He knew that he had found his place in the world, and for the first time in many years, he dared to dream of the happiness it might bring. Jed Hawkins was determined to protect Sarah's land and expose Sheriff Blackwood's true intentions . Tomorrow, they would face whatever lay ahead, united by the bonds of loyalty, friendship, and an unyielding resolve.…

Condición: New.

Condición: New. In English.