Name: Machine Learning Approaches and Applications in Applied Intelligence for Healthcare Data Analytics (Innovations in big Data and Machine Learning) (en Inglés)
Price: 291961.00 COP
Availability: InStock
Author: Kumar Abhishek,Dubey Ashutosh Kumar,Anavatti Sreenatha G.
ISBN: 9780367676346

portada Machine Learning Approaches and Applications in Applied Intelligence for Healthcare Data Analytics (Innovations in big Data and Machine Learning) (en Inglés)

Machine Learning Approaches and Applications in Applied Intelligence for Healthcare Data Analytics (Innovations in big Data and Machine Learning) (en Inglés)

Formato

Libro Físico

Editorial

Crc Press

Autor

Kumar Abhishek,Dubey Ashutosh Kumar,Anavatti Sreenatha G.

Idioma

Inglés

N° páginas

224

Encuadernación

Tapa Blanda

ISBN13

9780367676346

N° edición

Machine Learning Approaches and Applications in Applied Intelligence for Healthcare Data Analytics (Innovations in big Data and Machine Learning) (en Inglés)

Kumar Abhishek,Dubey Ashutosh Kumar,Anavatti Sreenatha G. (Autor) · Crc Press · Tapa Blanda

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Reseña del libro "Machine Learning Approaches and Applications in Applied Intelligence for Healthcare Data Analytics (Innovations in big Data and Machine Learning) (en Inglés)"

In the last two decades, machine learning has developed dramatically and is still experiencing a fast and everlasting change in paradigms, methodology, applications and other aspects. This book offers a compendium of current and emerging machine learning paradigms in healthcare informatics and reflects on their diversity and complexity. Machine Learning Approaches and Applications in Applied Intelligence for Healthcare Data Analytics presents a variety of techniques designed to enhance and empower multi-disciplinary and multi-institutional machine learning research. It provides many case studies and a panoramic view of data and machine learning techniques, providing the opportunity for novel insights and discoveries. The book explores the theory and practical applications in healthcare and includes a guided tour of machine learning algorithms, architecture design and interdisciplinary challenges.This book is useful for research scholars and students involved in critical condition analysis and computation models.