Advanced decision sciences based on deep learning and ensemble learning algorithms a practical approach using Python / S. Sumathi, Suresh Rajappa, L. Ashok Kumar, and Surekha Paneerselvam.

Author/creator Sumathi, S., 1968-
Other author Rajappa, Suresh.
Other author Kumar, L. Ashok.
Other author Paneerselvam, Surekha.
Format Electronic
Publication InfoNew York : Nova Science Publishers, [2021]
Descriptionx, 357 pages ; 23 cm.
Supplemental ContentFull text available from Ebook Central - Academic Complete
Subjects

SeriesComputer science, technology and applications
Abstract "Advanced Decision Sciences Based on Deep Learning and Ensemble Learning Algorithms: A Practical Approach Using Python describes the deep learning models and ensemble approaches applied to decision-making problems. The authors have addressed the concepts of deep learning, convolutional neural networks, recurrent neural networks, and ensemble learning in a practical sense providing complete code and implementation for several real-world examples. The authors of this book teach the concepts of machine learning for undergraduate and graduate-level classes and have worked with Fortune 500 clients to formulate data analytics strategies and operationalize these strategies. The book will benefit information professionals, programmers, consultants, professors, students, and industry experts who seek a variety of real-world illustrations with an implementation based on machine learning algorithms"-- 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 2021046000
ISBN9781685070618 ()
ISBN(adobe pdf)

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