Description
Provides an integrated approach to multimedia data engineering that covers supervised and unsupervised approaches as well as the data engineering strategies that rely on a hierarchical structure of probabilistic models
Emphasizes the need for developing a foundation of machine learning expertise in order to deal with a variety of real-world case studies in a variety of sectors such as biological communication systems, healthcare, security, finance, and economics, among others
Focuses on the use of various machine learning algorithms, neural network algorithms, evolutionary techniques, fuzzy logic techniques, and deep learning techniques through projects
Highlights the existing challenges and opportunities in the implementation of Artificial Intelligence in Multimedia data.
Presents real-world case studies from machine learning ecosystems to demonstrate the necessary machine learning skills to become a successful practitioner
Book Information
ISBN 9781032469317
Author Suman Swarnkar
Format Hardback
Page Count 176
Imprint CRC Press
Publisher Taylor & Francis Ltd
