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In Three Millenia
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MLOps 도입 가이드
MLOps의 개념부터 도입과 활용까지, 성공적인 머신러닝 운영화를 위한 실용 가이드! 오늘날 데이터 사이언스와 AI는 IT 분야뿐 아니라 제조, 구매, 유통, 마케팅, 반도체, 자동차, 식품 등 산업 전 분야에 걸쳐 기업 생존의 필수 요소로 인식되어 경쟁적으로 도입되고 있다. 이러한 데이터 사이언스와 AI 프로젝트의 핵심에 MLOps가 놓여 있다. 이 책은 비즈니스 환경에서 머신러닝 적용 실무를 담당하는 데이터 분석 팀 또는 IT 운영 팀의 관리자들을 대상으로 한다. MLOps가 새로운 영역이라는 점을 감안하여, MLOps 환경을 성공적으로 구축...
Introducing MLOps
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 cyc...
MLOps – Kernkonzepte im Überblick
Erfolgreiche ML-Pipelines entwickeln und mit MLOps organisatorische Herausforderungen meistern Stellt DevOps-Konzepte vor, die die speziellen Anforderungen von ML-Anwendungen berücksichtigen Umfasst die Verwaltung, Bereitstellung, Skalierung und Überwachung von ML-Modellen im Unternehmensumfeld Für Data Scientists und Data Engineers, die nach besseren Strategien für den produktiven Einsatz ihrer ML-Modelle suchen Viele Machine-Learning-Modelle, die in Unternehmen entwickelt werden, schaffen es aufgrund von organisatorischen und technischen Hürden nicht in den produktiven Betrieb. Dieses Buch zeigt Ihnen, wie Sie erprobte MLOps-Strategien einsetzen, um eine erfolgreiche DevOps-Umgebung f...
The Lutheran Witness
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Introducing MLOps
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 cyc...
Laser Spectroscopy
The XV International Conference on Laser Spectroscopy brought together spectroscopists from all over the world working in the very diverse and still growing field of laser spectroscopy. It addressed a large number of modern scientific issues at the highest level.
