ECU Libraries Catalog

Machine learning and big data : concepts, algorithms, tools and applications / edited by Uma N. Dulhare, Khaleel Ahmad, Khairol Amali Bin Ahmad.

Format Electronic and Book
Publication InfoHoboken, NJ : Wiley-Scrivener, 2020.
Descriptionpages cm
Supplemental Content Full text available from Ebook Central - Academic Complete
Supplemental Content Full text available from Knovel, Academic, General Engineering & Project Administration
Subject(s)
Other author/creatorDulhare, Uma N.
Other author/creatorAhmad, Khaleel.
Other author/creatorKhairol Amali Bin Ahmad.
Other author/creatorJohn Wiley & Sons, Inc.
Abstract "Machine learning with big data technologies create new opportunities to understand the various data process related to medical or environmental aspects of agriculture. Machine learning as a field is now incredibly pervasive, with applications spanning from business intelligence to homeland security from analyzing biochemical interactions to structural monitoring of aging bridges, and from emissions to astrophysics, etc. As we are entering the Industrial Revolution 4.0, BD/ML applications, in combination with IoT/Cloud technologies, are fundamentally changing any domain-specific industry. Development of this field is very important because it can help to enhance human life by the automation system, which in turn has far-reaching effects for economic, psychological, educational and organizational improvements to the way we work, teach, learn and care for ourselves and each other"-- Provided by publisher.
Bibliography noteIncludes bibliographical references and index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
LCCN 2020031697
ISBN9781119654742 (hardback)
ISBN(adobe pdf)
ISBN(epub)

Available Items

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