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Fundamentals and Methods of Machine and Deep Learning
book

Fundamentals and Methods of Machine and Deep Learning

by Pradeep Singh
March 2022
Intermediate to advanced content levelIntermediate to advanced
480 pages
11h 7m
English
Wiley-Scrivener
Content preview from Fundamentals and Methods of Machine and Deep Learning

10Predictive Analysis of Online Television Videos Using Machine Learning Algorithms

Rebecca Jeyavadhanam B.1, Ramalingam V.V.2*, Sugumaran V.3 and Rajkumar D.4

1Department of Computer Applications, Faculty of Science and Humanities, SRMIST, Kattankulathur, India

2Department of Computer Science and Engineering, College of Engineering and Technology, SRMIST, Kattankulathur, India

3SMBS, VIT Chennai Campus, Chennai, India

4Department of BCA, Faculty of Science and Humanities, SRMIST, Ramapuram, India

Abstract

In recent years, intelligent machine systems promote different disciplines and facilitate reasonable solutions in various domains. Machine learning offers higher-level services for organizations to build customized solutions. Machine learning algorithms are widely integrated with image, video analytics, and evolving technologies such as augmented and virtual reality. The advanced machine learning approach plays an essential key role in handling the huge volume of time-dependent data and modeling automatic detection systems. The data grows exponentially with varying sizes, formats, and complexity. Machine learning algorithms are developed to extract meaningful information from huge and complex datasets. Machine learning algorithms or models improve their efficiency by the training process. This chapter commences with machine learning fundamentals and focuses on the most prominent machine learning process of data collection, feature extraction, feature selection, and building ...

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Publisher Resources

ISBN: 9781119821250Purchase Link