Fundamentals of Data Science

About the Book: Data Science is an interdisciplinary journal that addresses the development that data has become a crucial factor for a large number and variety of scientific fields. Data Science has immense potential for professionals to move up the value chain and find work opportunities in areas where machines do not have a role to play. Artificial Intelligence and machine learning are building upon the digital revolution and are bringing another wave of automation. Having relevant qualifications and expertise in this field can certainly give Data Science professionals a competitive advantage over others. This book covers aspects around scientific data over the whole range from Classification Techniques Clustering Techniques Feature Extraction & Dimensionality Reduction Data Visualization. We are interested in general methods and concepts as well as specific tools infrastructures and applications. The ultimate goal is to unleash the power of scientific data to deepen our understanding of physical biological and digital systems gain insight into human social and economic behaviour and design new solutions for the future. The rising importance of scientific data both big and small brings with it a wealth of challenges to combine structured and unstructured data from text audio visual content such as sensor and weblog data. About the Author: Dr P.M.Ashok Kumar received his Ph. in the area of Video Analytics from Anna University B.Tech (Electronics and Communication Engg.) from JNTU Hyderabad and M.E (Computer Science Engg. from Anna University Chennai India. Currently he is working as a Professor in the Department of Computer Science Engineering K L Deemed to be University Vaddeswaram India. He authored more than 20 articles in both SCIE & Scopus indexed journals conferences. His main research interests include Image processing Data mining Machine learning.