Deep learning techniques and optimization strategies in big data analytics [edited by] J. Joshua Thomas, Pinar Karagoz, B. Bazeer Ahamed, Pandian Vasant.
Material type:
TextSeries: Advances in systems analysis, software engineering, and high performance computing (ASASEHPC) book seriesPublisher: Hershey, PA Engineering Science Reference, IGI Global, [2020]Description: 1 online resource (xxv, 355 pages)ISBN: 1799811948; 9781799811947Subject(s): Big data | Quantitative research | Big data | Quantitative researchGenre/Form: EBSCO eBooks | Electronic books. DDC classification: 005.7 LOC classification: QA76.9.B45 | D44 2020Online resources: EBSCOhost Summary: "This book examines the application of artificial intelligence in machine learning, data mining in unstructured data sets or databases, web mining, and information retrieval"-- Provided by publisher.
Includes bibliographical references and index.
"This book examines the application of artificial intelligence in machine learning, data mining in unstructured data sets or databases, web mining, and information retrieval"-- Provided by publisher.
Description based on online resource; title from digital title page (viewed on December 02, 2019).
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