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  • 1
    Online Resource
    Online Resource
    MLOps engineering at scale (2022)
    [Shelter Island, New York] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 sound file (7 hr., 8 min.))
    Edition: [First edition].
    DDC: 006.3/1
    Keywords: Cloud computing ; Machine learning ; Apprentissage automatique ; Audiobooks ; Livres audio
    Abstract: MLOps Engineering at Scale teaches you how to implement efficient machine learning systems using pre-built services from AWS and other cloud vendors. This easy-to-follow book guides you step-by-step as you set up your serverless ML infrastructure, even if you’ve never used a cloud platform before. You’ll also explore tools like PyTorch Lightning, Optuna, and MLFlow that make it easy to build pipelines and scale your deep learning models in production.
    Note: Online resource; title from title details screen (O’Reilly, viewed July 2, 2024)
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    MPI Ethno. Forsch.
  • 2
    Online Resource
    Online Resource
    Automatic Differentiation in Python and PyTorch (2020)
    [Erscheinungsort nicht ermittelbar] : Manning Publications | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 1 hr., 15 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Deep dive into understanding automatic differentiation used by PyTorch autograd for deep learning with the help of Carl Osipov, who has spent over 15 years working on big data processing and machine learning in multi-core, distributed systems, such as service-oriented architecture and cloud computing platforms.
    Note: Online resource; Title from title screen (viewed July 15, 2020) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    MPI Ethno. Forsch.
  • 3
    Online Resource
    Online Resource
    MLOps Engineering at Scale (2022)
    New York : Manning Publications Co. LLC
    Details
    ISBN: 9781638356509 , 1638356505
    Language: English
    Pages: 1 online resource (280 p.)
    DDC: 006.3/1
    Keywords: Machine learning Computer programs ; Apprentissage automatique ; Logiciels ; Electronic books ; Electronic books
    Abstract: MLOps Engineering at Scale teaches you how to implement efficient machine learning systems using pre-built services from AWS and other cloud vendors. This easy-to-follow book guides you step-by-step as you set up your serverless ML infrastructure, even if you've never used a cloud platform before. You'll also explore tools like PyTorch Lightning, Optuna, and MLFlow that make it easy to build pipelines and scale your deep learning models in production.
    Note: Description based upon print version of record. - Includes bibliographical references and index
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    MPI Ethno. Forsch.
  • 4
    Online Resource
    Online Resource
    Understanding Horovod for distributed gradient descent in PyTorch (2020)
    [Place of publication not identified] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 video file (1 hr., 27 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/1
    Keywords: Deep learning (Machine learning) ; Python (Computer program language) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Explanation of distributed gradient descent with an algorithm Horovod using multivariate linear regression in PyTorch and Python.
    Note: Online resource; title from title details screen (O'Reilly, viewed July 12, 2022)
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    MPI Ethno. Forsch.
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