Sinopsis
The present book is primarily intended for undergraduate and postgraduate students of computer science and engineering, information technology, and electrical and electronics engineering. It bridges the gaps in knowledge of the seemingly difficult areas of machine learning and nature inspired computing. The text is written in a highly interactive manner, which satisfies the learning curiosity of any reader. Content of the text has been diligently organized to offer seamless learning experience. The text begins with introduction to machine learning, which is followed by explanation of different aspects of machine learning. Various supervised, unsupervised, reinforced and nature inspired learning techniques are included in the textbook with numerous examples and case studies. Different aspects of new machine learning and nature inspired learning algorithms are explained in-depth. The well-explained algorithms and pseudocodes for each topic make this book useful for students. The book also throws light on areas like prediction and classification systems.
Key Features
- Day to day examples and pictorial representations for deeper understanding of the subject
- Helps readers easily create programs/applications
- Research oriented approach
- More case studies and worked-out examples for each machine learning algorithm than any other book
"Sinopsis" puede pertenecer a otra edición de este libro.
Acerca del autor
Vinod Chandra S S, PhD, is Director, Computer Centre, University of Kerala, and the Head of Machine Intelligence Research (MIR) group, a pinpoint research group in machine intelligence and nature-inspired techniques. Dr. Vinod is leading many research and development projects associated with universities and the government and holds many consultancy activities for government organizations. He has five IPRs and a patent in the field of machine learning. An author of six books and a modest number of research publications, he is a reviewer of many international journals and conferences. His research area includes machine intelligence algorithms and nature inspired computing.
Anand Hareendran S, PhD, is Associate Professor, Department of Computer Science and Engineering, Muthoot Institute of Technology and Science, Kochi. He has designed and implemented various rule-mining algorithms, which find application in medical field, route mapping and frequent item search. Dr. Anand is an author of two books, a modest number of research journal publications, and has two IPRs in machine learning algorithms. He is a reviewer in various international conferences and journals, and is an active member of Machine Intelligence Research group. His current area of research includes algorithms on machine learning, association rule mining and bio-inspired methodologies.
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Edición internacional
MACHINE LEARNING : A PRACTITIONER'S APPROACH
Edición internacionalLibrería: Romtrade Corp., STERLING HEIGHTS, MI, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide. Nº de ref. del artículo: ABNR-319135
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