Demystifying Emerging Trends in Machine Learning

Volume in the series

Emerging Trends in Computation Intelligence and Disruptive Technologies

Publisher:Bentham Science

By: Pankaj Kumar Mishra and Satya Prakash Yadav

Paid access

|Jan 2025

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: 978-981-5305-39-5

Publisher: Bentham Science

Publication date: 2025

Language: English

Pages: 600

Related subjects:

Computer sciences,

Artificial intelligence

Demystifying Emerging Trends in Machine Learning

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