Architecting Data and Machine Learning Platforms: Enable Analytics and AI-Driven Innovation in the Cloud (Grayscale Indian Edition)

Architecting Data and Machine Learning Platforms: Enable Analytics and AI-Driven Innovation in the Cloud (Grayscale Indian Edition) (Paperback, Marco Tranquillin, Valliappa Lakshmanan, Firat Tekiner)

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Architecting Data and Machine Learning Platforms: Enable Analytics and AI-Driven Innovation in the Cloud (Grayscale Indian Edition)  (Paperback, Marco Tranquillin, Valliappa Lakshmanan, Firat Tekiner)

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    Highlights
    • Binding: Paperback
    • Publisher: Shroff/O’Reilly
    • Genre: Computing & Information Technology
    • ISBN: 9789355428158, 9355428154
    • Edition: First, 2023
    • Pages: 364
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  • Specifications
    Book Details
    Imprint
    • SPD
    Publication Year
    • 2023 2023-11-20
    Contributors
    Author Info
    • Marco Tranquillin is a seasoned digital consultant with over 10 years of experience in helping organizations around the world implement digital transformation strategies using cloud computing. In his last role at Google Cloud, he led a team of Principal Architects and Customer Engineers who helped Italian financial and insurance firms adopt and use cloud data technologies to solve business problems. He also previously led the European Data Analytics practice at Google Cloud and held consulting roles at other major firms such as Microsoft and Accenture. Valliappa Lakshmanan (Lak) works with management and data teams across a range of industries to help them employ data and AI-driven innovation to grow their businesses and increase value. Prior to this, Lak was the Director for Data Analytics and AI Solutions on Google Cloud and a Research Scientist at NOAA. He is a co-author of Data Science on the Google Cloud Platform, BigQuery: The Definitive Guide, and Machine Learning Design Patterns, all published by O’Reilly. Firat Tekiner is an adjunct professor at the University of Manchester and a Senior Product Manager in Google Cloud. Firat has over 20 years of experience in designing and delivering bespoke information systems for some of the world's largest research, education, telecommunications, finance and retail organizations. Following roles within National Supercomputing Services and National Centre for Text Mining, he has over 30 publications in the areas of Parallel Computing, Big Data, Artificial Intelligence and Computer Communications.
    University Books Details
    Specialization
    • Machine Learning
    Dimensions
    Width
    • 7
    Height
    • 9
    Depth
    • 0.7
    Weight
    • 550
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