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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.
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.
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