000			a
999			_c30056 _d30056
008			200603b xxu||||| |||| 00| 0 eng d
020			_a9783319292052
082			_a001.42 _bAKE
100			_aAkerkar, Rajenndra
245			_aIntelligent techniques for data science
260			_bSpringer _c2016 _aSwitzerland
300			_axvi, 272 p. _bill. (Some col.) _c24 cm.
365			_b74.99 _cEUR _d86.10
504			_aIncludes bibliographical references.
520			_aThis textbook provides readers with the tools, techniques and cases required to excel with modern artificial intelligence methods. These embrace the family of neural networks, fuzzy systems and evolutionary computing in addition to other fields within machine learning, and will help in identifying, visualizing, classifying and analyzing data to support business decisions. The authors, discuss advantages and drawbacks of different approaches, and present a sound foundation for the reader to design and implement data analytic solutions for applications in an intelligent manner. Intelligent Techniques for Data Science also provides real-world cases of extracting value from data in various domains such as retail, health, aviation, telecommunication and tourism.
650			_aArtificial intelligence
650			_aIntelligent techniques
650			_aData science
650			_aComputer science
700			_aSajja, Priti Srinivas
942			_2ddc _cBK