The term "data" being mostly used, experimented, analyzed, and
researched, "Data Science and its Applications" finds relevance in
all domains of research studies including science, engineering,
technology, management, mathematics, and many more in wide range of
applications such as sentiment analysis, social medial analytics,
signal processing, gene analysis, market analysis, healthcare,
bioinformatics etc. The book on Data Science and its applications
discusses about data science overview, scientific methods, data
processing, extraction of meaningful information from data, and
insight for developing the concept from different domains,
highlighting mathematical and statistical models, operations
research, computer programming, machine learning, data
visualization, pattern recognition and others. The book also
highlights data science implementation and evaluation of
performance in several emerging applications such as information
retrieval, cognitive science, healthcare, and computer vision. The
data analysis covers the role of data science depicting different
types of data such as text, image, biomedical signal etc. useful
for a wide range of real time applications. The salient features of
the book are: Overview, Challenges and Opportunities in Data
Science and Real Time Applications Addressing Big Data Issues
Useful Machine Learning Methods Disease Detection and Healthcare
Applications utilizing Data Science Concepts and Deep Learning
Applications in Stock Market, Education, Behavior Analysis, Image
Captioning, Gene Analysis and Scene Text Analysis Data Optimization
Due to multidisciplinary applications of data science concepts, the
book is intended for wide range of readers that include Data
Scientists, Big Data Analysists, Research Scholars engaged in Data
Science and Machine Learning applications.
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