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Demystifying Emerging Trends in Machine Learning Cover

Demystifying Emerging Trends in Machine Learning

Publisher:Bentham Science
Paid access
|Jan 2025
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Description
Demystifying Emerging Trends in Machine Learning (Volume 2) offers a deep dive into emerging and trending topics in the field of machine learning (ML). This edited volume showcases several machine learning methods for a variety of tasks. A key focus of this volume is the application of text classification for cybersecurity, E-commerce, sentiment analysis, public health and web content analysis.

The 49 chapters highlight a wide variety of machine learning methods including SVNs, K-Means Clustering, CNNs, DCNNs, among others. Each chapter includes accessible information through summaries, discussions and reference lists. This comprehensive volume is essential for students, researchers, and professionals eager to understand the emerging trends reshaping machine learning today.

Readership

Scholars and professionals interested in machine learning trends and research.
PDF ISBN: 978-981-5305-40-1
Publisher: Bentham Science
Copyright owner: © 2025 Bentham Science Publishers
Publication date: 2025
Language: English
Pages: 600
Related subjects:
Computer sciences,
Artificial intelligence
BISAC subjects:
COM004000
Thema subjects:
UYQ

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