LEADER 02741nam 2200469 450 001 9910830482703321 005 20230427164455.0 010 $a1-119-67473-5 010 $a1-119-67475-1 010 $a1-119-67470-0 035 $a(CKB)4100000012037091 035 $a(MiAaPQ)EBC6735015 035 $a(Au-PeEL)EBL6735015 035 $a(OCoLC)1272994785 035 $a(EXLCZ)994100000012037091 100 $a20220626d2022 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aData science in theory and practice $etechniques for big data analytics and complex data sets /$fMaria Cristina Mariani, Osei Kofi Tweneboah, Maria Pia Beccar-Varela 205 $a2nd ed. 210 1$aHoboken, New Jersey :$cWiley,$d[2022] 210 4$dİ2022 215 $a1 online resource (403 pages) 311 $a1-119-67468-9 320 $aIncludes bibliographical references and index. 330 $a"This textbook is dedicated to practitioners, graduate, and advanced undergraduate students who have interest in Data Science, Business analytics, and Statistical and Mathematical Modeling in different disciplines such as Finance, Geophysics, and Engineering. This book is designed to serve as a textbook for several courses in the aforementioned areas and a reference guide for practitioners in the industry. The book has a strong theoretical background and several applications to specific practical problems. It contains numerous techniques applicable to modern data science and other disciplines. In today's world, many fields are confronted with increasingly large amounts of complex data. Financial, healthcare, and geophysical data sampled with high frequency is no exception. These staggering amounts of data pose special challenges to the world of finance and other disciplines such as healthcare and geophysics, as traditional models and information technology tools can be poorly suited to grapple with their size and complexity. Probabilistic modeling, mathematical modeling, and statistical data analysis attempt to discover order from apparent disorder; this textbook may serve as a guide to various new systematic approaches on how to implement these quantitative activities with complex data sets."--$cProvided by publisher. 606 $aBig data 615 0$aBig data. 676 $a005.7 700 $aMariani$b Maria C.$0862418 702 $aTweneboah$b Osei Kofi$f1988- 702 $aBeccar-Varela$b Maria Pia 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910830482703321 996 $aData science in theory and practice$94009101 997 $aUNINA