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The book, to the best of the author¿s knowledge, is dealing with some traditional and modern aspects of ¿Machine learning based human brain-computer interaction¿. It provides an in-depth analysis of the machine learning models and algorithms and demonstrates their applications in real world problems with respect to brain-computer interaction. The book covers six chapters altogether. It starts with the behavioral perspective of the human brain with the details analysis of the nervous system and various neural activities. The end discussion of future research issues motivates the other researchers to do future research in this area. The book is unique for its diversity in contents, clarity and precision of presentation and the overall completeness of its chapters.
This book is a comprehensive, hands-on guide to the basics of data mining and machine learning with a special emphasis on supervised and unsupervised learning methods. The book is useful for professionals, students studying data mining and machine learning, and researchers in supervised and unsupervised learning techniques.
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