000			01830nam a22002657a 4500
999			_c2638 _d2638
005			20220629131359.0
008			220629b ||||| |||| 00| 0 eng d
020			_a9783030455736
082			_a519.5 _bBER
100			_aBerthold, Michael R. _97064
245			_aGuide to intelligent data science: how to intelligently make use of real data
260			_bSpringer _aSwitzerland _c2020
300			_axiii, 420 p.
365			_aEURO _b79.99
520			_aAbout this book Making use of data is not anymore a niche project but central to almost every project. With access to massive compute resources and vast amounts of data, it seems at least in principle possible to solve any problem. However, successful data science projects result from the intelligent application of: human intuition in combination with computational power; sound background knowledge with computer-aided modelling; and critical reflection of the obtained insights and results. Substantially updating the previous edition, then entitled Guide to Intelligent Data Analysis, this core textbook continues to provide a hands-on instructional approach to many data science techniques, and explains how these are used to solve real world problems. The work balances the practical aspects of applying and using data science techniques with the theoretical and algorithmic underpinnings from mathematics and statistics. Major updates on techniques and subject coverage (including deep learning) are included.
650			_aMathematical statistics _9837
650			_aMathematical statistics--Data processing _91581
650			_aArtificial intelligence _91478
650			_aMachine learning _92343
650			_aBig data _9212
700			_aBorgelt, Christian _97065
700			_aHoppner, Frank _97066
700			_aKlawonn, Frank _97067
942			_2ddc _cBK