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008			211007s2022 flu ob 000 0 eng d
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020			_a0429443234
020			_a9780429811470
020			_a0429811470
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050	0	0	_aQA76.9 _b.D3 2022
082	0	4	_a005.74
100	1		_aWagh, Sanjeev,
245	1	0	_aFundamentals of data science / _cSanjeev J. Wagh, Manisha S. Bhende, and Anuradha D. Thakare.
250			_aFirst edition.
300			_a1 online resource (xiv, 282 pages)
500			_a"A Chapman & Hall book."
520			_aFundamentals of Data Science is designed for students, academicians and practitioners with a complete walkthrough right from the foundational groundwork required to outlining all the concepts, techniques and tools required to understand Data Science. Data Science is an umbrella term for the non-traditional techniques and technologies that are required to collect, aggregate, process, and gain insights from massive datasets. This book offers all the processes, methodologies, various steps like data acquisition, pre-process, mining, prediction, and visualization tools for extracting insights from vast amounts of data by the use of various scientific methods, algorithms, and processes Readers will learn the steps necessary to create the application with SQl, NoSQL, Python, R, Matlab, Octave and Tablue. This book provides a stepwise approach to building solutions to data science applications right from understanding the fundamentals, performing data analytics to writing source code. All the concepts are discussed in simple English to help the community to become Data Scientist without much pre-requisite knowledge. Features : Simple strategies for developing statistical models that analyze data and detect patterns, trends, and relationships in data sets. Complete roadmap to Data Science approach with dedicatedsections which includes Fundamentals, Methodology and Tools. Focussed approach for learning and practice various Data Science Toolswith Sample code and examples for practice. Information is presented in an accessible way for students, researchers and academicians and professionals.
650		0	_aDatabases.
650		0	_aInformation retrieval.
650		0	_aData mining.
650		0	_aMachine learning.
650		6	_aRecherche de l'information.
650		6	_aExploration de données (Informatique)
650		6	_aApprentissage automatique.
650		7	_ainformation retrieval.
650		7	_aBUSINESS & ECONOMICS _xStatistics.
650		7	_aCOMPUTERS _xComputer Graphics _xGame Programming & Design.
650		7	_aCOMPUTERS _xDatabase Management _xGeneral.
650		7	_aData mining.
650		7	_aDatabases.
650		7	_aInformation retrieval.
650		7	_aMachine learning.
700	1		_aBhende, Manisha,
700	1		_aThakare, Anuradha,
942			_cBK
999			_c29936 _d29936