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000937306 019__ $$a1162006483$$a1162843566$$a1163823466$$a1164675192
000937306 020__ $$a9789811561337$$q(electronic book)
000937306 020__ $$a9811561338$$q(electronic book)
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000937306 0247_ $$a10.1007/978-981-15-6
000937306 035__ $$aSP(OCoLC)on1158218648
000937306 035__ $$aSP(OCoLC)1158218648$$z(OCoLC)1162006483$$z(OCoLC)1162843566$$z(OCoLC)1163823466$$z(OCoLC)1164675192
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000937306 050_4 $$aQA76.9.Q36
000937306 08204 $$a001.4/2$$223
000937306 1001_ $$aQamar, Usman.
000937306 24510 $$aData science concepts and techniques with applications /$$cUsman Qamar, Muhammad Summair Raza.
000937306 260__ $$aSingapore :$$bSpringer,$$c2020.
000937306 300__ $$a1 online resource (207 pages)
000937306 336__ $$atext$$btxt$$2rdacontent
000937306 337__ $$acomputer$$bc$$2rdamedia
000937306 338__ $$aonline resource$$bcr$$2rdacarrier
000937306 5050_ $$aIntroduction -- Applications of Data Science -- Widely used techniques in Data Science Applications -- Data Pre-processing -- Classification, Basic Concepts -- Clustering -- Text Mining -- Data Science Programming Language.
000937306 506__ $$aAccess limited to authorized users.
000937306 520__ $$aThis book comprehensively covers the topic of data science. Data science is an umbrella term that encompasses data analytics, data mining, machine learning, and several other related disciplines. This book synthesizes both fundamental and advanced topics of a research area that has now reached maturity. The chapters of this book are organized into three sections: The first section is an introduction to data science. Starting from the basic concepts, the book will highlight the types of data, its use, its importance and issues that are normally faced in data analytics. Followed by discussion on wide range of applications of data science and widely used techniques in data science. The second section is devoted to the tools and techniques of data science. It consists of data pre-processing, feature selection, classification and clustering concepts as well as an introduction to text mining and opining mining. And finally, the third section of the book focuses on two programming languages commonly used for data science projects i.e. Python and R programming language. Although this book primarily serves as a textbook, it will also appeal to industrial practitioners and researchers due to its focus on applications and references. The book is suitable for both undergraduate and postgraduate students as well as those carrying out research in data science. It can be used as a textbook for undergraduate students in computer science, engineering and mathematics. It can also be accessible to undergraduate students from other areas with the adequate background. The more advanced chapters can be used by postgraduate researchers intending to gather a deeper theoretical understanding.
000937306 588__ $$aDescription based on print version record.
000937306 650_0 $$aQuantitative research.
000937306 7001_ $$aRaza, Muhammad Summair.
000937306 77608 $$iPrint version:$$aQamar, Usman$$tData Science Concepts and Techniques with Applications$$dSingapore : Springer Singapore Pte. Limited,c2020$$z9789811561320
000937306 852__ $$bebk
000937306 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-981-15-6133-7$$zOnline Access$$91397441.1
000937306 909CO $$ooai:library.usi.edu:937306$$pGLOBAL_SET
000937306 980__ $$aEBOOK
000937306 980__ $$aBIB
000937306 982__ $$aEbook
000937306 983__ $$aOnline
000937306 994__ $$a92$$bISE