000			01761nam a2200277 4500
005			20250711181042.0
008			250711b |||||||| |||| 00| 0 eng d
020			_a9783030455767
082			_a006.3 BER _bBER
100			_aBerthold, Michael R.
245			_aGuide to intelligent data science _b: how to intelligently make use of real data
250			_a2nd ed.,
260			_aSwitzerland: _bSpringer Nature, _c2020.
300			_axii, 420p.
500			_aIncludes bibliographical references and index.
520			_aThis book approaches big data, artificial intelligence, machine learning, and business intelligence through the lens of Data Science. We have grown accustomed to seeing these terms mentioned time and time again in the mainstream media. However, our understanding of what they actually mean often remains limited. This book provides a general overview of the terms and approaches used broadly in data science, and provides detailed information on the underlying theories, models, and application scenarios. Divided into three main parts, it addresses what data science is; how and where it is used; and how it can be implemented using modern open source software. The book offers an essential guide to modern data science for all students, practitioners, developers and managers seeking a deeper understanding of how various aspects of data science work, and of how they can be employed to gain a competitive advantage
650			_aArtificial intelligence
650			_aBig data
650			_aComputational intelligence
650			_aData mining
700			_aBorgelt, Christian _eAuthor
700			_aHoppner, Frank _eAuthor
700			_aKlawonn, Frank _eAuthor
700			_aSilipo, Rosaria _eAuthor
942			_2ddc _n0 _cC
999			_c30519 _d30519