Demystifying Emerging Trends in Machine Learning (Emerging Trends in Computation Intelligence and Disruptive Technologies)

Demystifying Emerging Trends in Machine Learning (Emerging Trends in Computation Intelligence and Disruptive Technologies)

Demystifying Emerging Trends in Machine Learning (Emerging Trends in Computation Intelligence and Disruptive Technologies)

by: Pankaj Kumar Mishra (Author), Satya Prakash Yadav (Editor)

Publication Date: 2025-02-12

Language: English

Print Length: 613 pages

ISBN-10: 9815305417

ISBN-13: 9789815305418

Book 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.

Editorial Reviews

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.

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