Name: Machine Learning in Biological Sciences: Updates and Future Prospects (en Inglés)
Price: 556.30 PEN
Availability: InStock
Author: Ghosh, Shyamasree ; Dasgupta, Rathi
ISBN: 9789811688836

portada Machine Learning in Biological Sciences: Updates and Future Prospects (en Inglés)

Machine Learning in Biological Sciences: Updates and Future Prospects (en Inglés)

Formato

Libro Físico

Autor

Shyamasree Ghosh

Rathi Dasgupta

Editorial

Springer

Idioma

Inglés

N° páginas

336

Encuadernación

Tapa Blanda

Dimensiones

23.4 x 15.6 x 1.9 cm

Peso

0.50 kg.

ISBN13

9789811688836

Categorías

Equipamiento y técnicas médicas
Inteligencia artificial

Machine Learning in Biological Sciences: Updates and Future Prospects (en Inglés)

Shyamasree Ghosh (Autor) · Rathi Dasgupta (Autor) · Springer · Tapa Blanda

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Reseña del libro "Machine Learning in Biological Sciences: Updates and Future Prospects (en Inglés)"

This book gives an overview of applications of Machine Learning (ML) in diverse fields of biological sciences, including healthcare, animal sciences, agriculture, and plant sciences. Machine learning has major applications in process modelling, computer vision, signal processing, speech recognition, and language understanding and processing and life, and health sciences. It is increasingly used in understanding DNA patterns and in precision medicine. This book is divided into eight major sections, each containing chapters that describe the application of ML in a certain field. The book begins by giving an introduction to ML and the various ML methods. It then covers interesting and timely aspects such as applications in genetics, cell biology, the study of plant-pathogen interactions, and animal behavior. The book discusses computational methods for toxicity prediction of environmental chemicals and drugs, which forms a major domain of research in the field of biology. It is of relevance to post-graduate students and researchers interested in exploring the interdisciplinary areas of use of machine learning and deep learning in life sciences.