MACHINE LEARNING : A PRACTITIONER'S APPROACH

VINOD CHANDRA/HAREEN

ISBN 10: 9389347467 / ISBN 13: 9789389347463

Editore: PHI Publisher

Riguardo questo articolo

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.

Codice articolo ABNR-319135

Dati bibliografici

• Titolo: MACHINE LEARNING : A PRACTITIONER'S APPROACH
• Editore: PHI Publisher
• Lingua: Inglese
• ISBN 10: 9389347467
• ISBN 13: 9789389347463
• Rilegatura: Brossura
• Edizione: Edizione Internazionale
• Condizione: New

Descrizione articolo

Riassunto

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