01081nam a2200277 i 450099100146262970753620020507193917.0960327s1979 us ||| | eng 0273084283b10850867-39ule_instLE01312621ExLDip.to Matematicaeng530.1515353AMS 76H05Manwell, A. R.13075The Tricomi equation with applications to the theory of plane transonic flow /A. R. ManwellSan Francisco :Pitman Advanced Publ. Program,1979185 p. ;25 cm.Pitman research notes in mathematics series, ISSN 02693674 ;35Transonic flows.b1085086723-02-1728-06-02991001462629707536LE013 76H05 MAN11 (1979)12013000044705le013-E0.00-l- 02120.i1096231128-06-02Tricomi equation with applications to the theory of plane transonic flow342219UNISALENTOle01301-01-96ma -engus 4103299nam 22006015 450 991025501220332120200705022927.03-319-29206-410.1007/978-3-319-29206-9(CKB)3710000000909051(DE-He213)978-3-319-29206-9(MiAaPQ)EBC6310741(MiAaPQ)EBC5577828(Au-PeEL)EBL5577828(OCoLC)961104124(PPN)196324947(EXLCZ)99371000000090905120161011d2016 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierIntelligent Techniques for Data Science /by Rajendra Akerkar, Priti Srinivas Sajja1st ed. 2016.Cham :Springer International Publishing :Imprint: Springer,2016.1 online resource (XVI, 272 p. 121 illus., 57 illus. in color.) 3-319-29205-6 Includes bibliographical references.Preface -- Introduction -- Data Analytics -- Basic Learning Algorithms -- Fuzzy Logic -- Artificial Neural Networks -- Genetic Algorithms and Evolutionary Computing -- Other Metaheuristics and Classification Approaches -- Analytics and Big Data -- Data Analytics Using R -- Appendix I: Tools for Data Science -- Appendix II: Tools for Computational Intelligence.This 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.Data miningArtificial intelligenceKnowledge managementData Mining and Knowledge Discoveryhttps://scigraph.springernature.com/ontologies/product-market-codes/I18030Artificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Knowledge Managementhttps://scigraph.springernature.com/ontologies/product-market-codes/515030Data mining.Artificial intelligence.Knowledge management.Data Mining and Knowledge Discovery.Artificial Intelligence.Knowledge Management.006.312Akerkar Rajendraauthttp://id.loc.gov/vocabulary/relators/aut621740Sajja Priti Srinivasauthttp://id.loc.gov/vocabulary/relators/autMiAaPQMiAaPQMiAaPQBOOK9910255012203321Intelligent Techniques for Data Science2256428UNINA