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Machine learning : theory and applications /
Statistical learning and analysis techniques have become extremely important today, given the tremendous growth in the size of heterogeneous data collections and the ability to process it even from physically distant locations. Recent advances made in the field of Machine Learning provide a strong f...
| Clasificación: | Libro Electrónico |
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| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Amsterdam :
North Holland,
2013.
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| Colección: | Handbook of statistics (Amsterdam, Netherlands) ;
31. |
| Temas: | |
| Acceso en línea: | Texto completo Texto completo |
| Sumario: | Statistical learning and analysis techniques have become extremely important today, given the tremendous growth in the size of heterogeneous data collections and the ability to process it even from physically distant locations. Recent advances made in the field of Machine Learning provide a strong framework for robust learning from the diverse corpora and continue to impact a variety of research problems across multiple scientific disciplines. The aim of this handbook is to familiarize beginners as well as experts with some of the recent techniques in this field. The proposed handbook is divided in two sections: Theory and Applications. very relevant to current research challenges faced in various fieldsself-contained reference to machine learning emphasis on applications-oriented techniques. |
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| Descripción Física: | 1 online resource |
| Bibliografía: | Includes bibliographical references and index. |
| ISBN: | 9780444538666 0444538666 |