DATA SCIENCE: FOUNDATION & FUNDAMENTALS

Mr. Ramkumar A · Dr. Haewon Byeon · Mohit Tiwari · Dr. Santosh Kumar Sahu

Aug 2023 · Xoffencerpublication

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244

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About this eBook

The academic field of computer science did not develop as a separate subject of study until the 1960s after it had been in existence since the 1950s. The mathematical theory that underpinned the fields of computer programming, compilers, and operating systems was one of the primary focuses of this class. Other important topics were the various programming languages and operating systems. Context-free languages, finite automata, regular expressions, and computability were a few of the topics that were discussed in theoretical computer science lectures. The area of study known as algorithmic analysis became an essential component of theory in the 1970s, after having been mostly overlooked for the majority of its existence up to that point in time. The purpose of this initiative was to investigate and identify practical applications for computer technology. At the time, a significant change is taking place, and a greater amount of attention is being paid to the vast number of different applications that may be utilized. This shift is the cumulative effect of several separate variables coming together at the same time. The convergence of computing and communication technology has been a major motivator, and as a result, this change may be primarily attributed to that convergence. Our current knowledge of data and the most effective approach to work with it in the modern world has to be revised in light of recent advancements in the capability to monitor, collect, and store data in a variety of fields, including the natural sciences, business, and other fields. This is necessary because of the recent breakthroughs in these capabilities. This is as a result of recent advancements that have been made in these capacities. The widespread adoption of the internet and other forms of social networking as indispensable components of people's lives brings with it a variety of opportunities for theoretical development as well as difficulties in actual use. Traditional subfields of computer science continue to hold a significant amount of weight in the field as a whole; however, researchers of the future will focus more on how to use computers to comprehend and extract usable information from massive amounts of data arising from applications rather than how to make computers useful for solving particular problems in a well-defined manner. This shift in emphasis is due to the fact that researchers of 1 | P a ge the future will be more concerned with how to use computers to comprehend and extract usable information from massive amounts of data arising from applications. This shift in emphasis is because researchers of the future will be more concerned with how to use the information they find. As a result of this, we felt it necessary to compile this book, which discusses a theory that would, according to our projections, play an important role within the next 40 years. We think that having a grasp of this issue will provide students with an advantage in the next 40 years, in the same way that having an understanding of automata theory, algorithms, and other topics of a similar sort provided students an advantage in the 40 years prior to this one, and in the 40 years after this one. A movement toward placing a larger emphasis on probabilities, statistical approaches, and numerical processes is one of the most significant shifts that has taken place as a result of the developments that have taken place. Early drafts of the book have been assigned reading at a broad variety of academic levels, ranging all the way from the undergraduate level to the graduate level. The information that is expected to have been learned before for a class that is taken at the undergraduate level may be found in the appendix. As a result of this, the appendix will provide you with some activities to do as a component of your project.

About the author

Mr. Ramkumar A, Assistant Professor, Department of Computer Technology, Karpagam Academy of Higher Education, (Deemed to be University), Coimbatore, Tamilnadu. He has done his B.Sc.(Electronics and Communication) from Madurai Kamaraj University, Completed M.C.A. from Anna University, Chennai and currently pursing his Doctorate in Kalasalingam Academy of Research and Education, Krishnankovil. Having more than 8 years of experience as Assistant Professor. Active participant in seminars and conferences. Publications in renowned journals. Held various positions in academic life.

Dr. Haewon Byeon Received the Dr Sc degree in Biomedical Science from Ajou University School of Medicine. Haewon Byeon currently works at the Department of Medical Big Data, Inje University. His recent interests focus on health promotion, AI medicine, and biostatistics. He is currently a member of international committee for a Frontiers in Psychiatry, and an editorial board for World Journal of Psychiatry. Also, He were worked on A 4 projects (Principal Investigator) from the Ministry of Education, the Korea Research Foundation, and the Ministry of Health and Welfare. Byeon has published more than 343 articles and 19 books.

Mohit Tiwari, B.Tech. (Computer Science) & MBA (Operations & Research) having over 20 years’ experience in a wide gamut of functional areas including Software Development / Software Engineering, Networking, Systems / Database Administration and IT Infrastructure Management, Teaching, Open source technologies. Currently associated with Bharati Vidyapeeth’s College of Engineering as Assistant Professor in Computer Science and Engineering Department. A keen researcher with sound exposure to emerging trends and happenings in the IT industry.

Dr. Santosh Kumar Sahu working as an Assistant Professor in the Department of Mechanical Engineering at Veer Surendra Sai University of Technology, Burla. He graduated in Mechanical Engineering at Synergy Institute of Engineering & Technology, Dhenkanal, Odisha, India. He secured Master of Technology in Mechanical Engineering (Production Engineering Specialization) at National Institute of Technology, Rourkela, Odisha, India. He secured Ph.D. in Mechanical Engineering at Jadavpur University, Kolkata, West Bengal, India. He is in the field of Mechanical Engineering at Veer Surendra Sai University of Technology, Burla, Sambalpur, Odisha, India. He is in teaching profession for more than 12 years. He has published55 number of papers in National and International Journals, Conference. He has also published five books and six patents. His main area of interest includes Non-Traditional Machining, Modeling and Optimization of Production Processes Machining, Data Sciences, Decision and Information Sciences and Supply Chain Management.

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