000			02114nam a22002537a 4500
005			20260724121742.0
008			260724s2025 |||||||| |||| 00| 0 eng d
020			_a9780138340742
040			_cPK-LaUMT
082			_a006.31 _bLEV-J
100	1		_aLevene, Mark _914147
245	1	0	_aJust enough data science and machine learning : _bessential tools and techniques / _cMark Levene and Martyn Harris
260			_aHoboken : _bAddison-Wesley, _c2025
300			_axviii, 204 p.
500			_aIncludes bibliographical references and index.
520			_a"In Just Enough Data Science and Machine Learning, authors Mark Levene and Martyn Harris present a comprehensive and accessible introduction to data science. It allows the readers to develop an intuition behind the methods adopted in both data science and machine learning, whit is the algorithmic component of data science involving the discovery of patterns from input data. This book looks at data science from an applied perspective, where emphasis is placed on the algorithmic aspects of data science and on the fundamental statistical concepts necessary to understand the subject.The book begins by exploring the nature of data science and its origins in basic statistics. The authors then guide readers through the essential steps of data science, starting with exploratory data analysis using visualisation tools. They explain the process of forming hypotheses, building statistical models, and utilising algorithmic methods to discover patterns in the data. Finally, the authors discuss general issues and preliminary concepts that are needed to understand machine learning, which is central to the discipline of data science. The book is packed with practical examples and real-world data sets throughout to reinforce the concepts. All examples are supported by Python code external to the reading material to keep the book timeless."-- Page [4] of cover
546			_aEng
650			_aData science _9333
650			_aData mining
650			_aMachine learning
650			_aDeep learning
700	1		_aHarris, Martyn _914148
942			_cBK
999			_c141633 _d141633