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  • MLOps with Ray

    Best Practices and Strategies for Adopting Machine Learning Operations

    Series series Professional and Applied Computing (R0)
    Understand how to use MLOps as an engineering discipline to help with the challenges of bringing machine learning models to production quickly and consistently. This book will help companies worldwide to adopt and incorporate machine learning into their processes and products to improve their competitiveness.The book delves into this engineering discipline's aspects and components and explores ... Leer más

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  • Beginning Apache Spark 3

    With DataFrame, Spark SQL, Structured Streaming, and Spark Machine Learning Library

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    Series series Professional and Applied Computing (R0)
    Take a journey toward discovering, learning, and using Apache Spark 3.0. In this book, you will gain expertise on the powerful and efficient distributed data processing engine inside of Apache Spark; its user-friendly, comprehensive, and flexible programming model for processing data in batch and streaming; and the scalable machine learning algorithms and practical utilities to build machine ... Leer más

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  • Beginning Apache Spark 2

    With Resilient Distributed Datasets, Spark SQL, Structured Streaming and Spark Machine Learning library

    de Hien Luu ...
    Series series Professional and Applied Computing (R0)
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  • Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data

    First MICCAI Workshop, DART 2019, and First International Workshop, MIL3ID 2019, Shenzhen, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings

    Series series Springer Nature Proceedings Computer Science
    This book constitutes the refereed proceedings of the First MICCAI Workshop on Domain Adaptation and Representation Transfer, DART 2019, and the First International Workshop on Medical Image Learning with Less Labels and Imperfect Data, MIL3ID 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019.DART 2019 accepted 12 papers for publication out of 18 submissions. The ... Leer más

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  • Interpretable and Annotation-Efficient Learning for Medical Image Computing

    Third International Workshop, iMIMIC 2020, Second International Workshop, MIL3ID 2020, and 5th International Workshop, LABELS 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4–8, 2020, Proceedings

    Series series Springer Nature Proceedings Computer Science
    This book constitutes the refereed joint proceedings of the Third International Workshop on Interpretability of Machine Intelligence in Medical Image Computing, iMIMIC 2020, the Second International Workshop on Medical Image Learning with Less Labels and Imperfect Data, MIL3ID 2020, and the 5th International Workshop on Large-scale Annotation of Biomedical data and Expert Label Synthesis, LABELS ... Leer más

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  • SQL All-in-One For Dummies

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