Apress - Oracle Business Intelligence With Machine Learning: Artificial Intelligence Techniques In OBIEE For Actionable BI (2018 EN)

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    Author: Rosendo Abellera, Lakshman Bulusu
    Full Title: Oracle Business Intelligence With Machine Learning: Artificial Intelligence Techniques In OBIEE For Actionable BI
    Publisher: Apress; 1st ed. edition (December 19, 2017)
    Year: 2018
    ISBN-13: 9781484232552 (978-1-4842-3255-2), 9781484232545 (978-1-4842-3254-5)
    ISBN-10: 1484232550, 1484232542
    Pages: 199
    Language: English
    Genre: Educational: Artificial Intelligence
    File type: EPUB (True), PDF (True), Code Files
    Quality: 10/10
    Price: 40.65 €


    Use machine learning and Oracle Business Intelligence Enterprise Edition (OBIEE) as a comprehensive BI solution. This book follows a when-to, why-to, and how-to approach to explain the key steps involved in utilizing the artificial intelligence components now available for a successful OBIEE implementation. Oracle Business Intelligence with Machine Learning covers various technologies including using Oracle OBIEE, R Enterprise, Spatial Maps, and machine learning for advanced visualization and analytics.

    The machine learning material focuses on learning representations of input data suitable for a given prediction problem. This book focuses on the practical aspects of implementing machine learning solutions using the rich Oracle BI ecosystem. The primary objective of this book is to bridge the gap between the academic state-of-the-art and the industry state-of-the-practice by introducing you to machine learning with OBIEE.


    Learn:
    ✓ See machine learning in OBIEE
    ✓ Master the fundamentals of machine learning and how it pertains to BI and advanced analytics
    ✓ Gain an introduction to Oracle R Enterprise
    ✓ Discover the practical considerations of implementing machine learning with OBIEE

    Features:
    ✓ Focuses on implementing machine learning models with OBIEE
    ✓ Practical hands-on approach to machine learning and how it pertains to business intelligence
    ✓ Relating theory to actual practice

    Who This Book Is For:
    Analytics managers, BI architects and developers, and data scientists.

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