00985nam2-2200337---450-99000344386020331620100920124917.0978-88-13-29238-6000344386USA01000344386(ALEPH)000344386USA0100034438620100920d2009----km-y0itay50------baitaIT||||||||001yyGuida all'esame di avvocato 2009PadovaCedam2009X, 208 p.25 cm0010003443882001Corso multimediale per l'esame di avvocato 2009AvvocatiManuali per concorsiBNCF349.45076ITsalbcISBD990003443860203316XXI.6. 27764564 G.XXI.6.00225264BKGIUCHIARA9020100920USA011245CHIARA9020100920USA011249Guida all'esame di avvocato 20091108273UNISA01650nam 2200469 450 99646454450331620220922164134.03-030-95470-6(MiAaPQ)EBC6882567(Au-PeEL)EBL6882567(CKB)21069024600041(PPN)260825360(EXLCZ)992106902460004120220922d2022 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierMachine learning, optimization, and data sciencePart II 7th International Conference, LOD 2021, Grasmere, UK, October 4-8, 2021 /edited by Giuseppe Nicosia [and seven others]Cham, Switzerland :Springer,[2022]©20221 online resource (571 pages)Lecture notes in computer science ;13164Print version: Nicosia, Giuseppe Machine Learning, Optimization, and Data Science Cham : Springer International Publishing AG,c2022 9783030954697 Includes bibliographical references and index.Lecture notes in computer science ;13164.Big dataMachine learningCongressesMathematical optimizationCongressesBig data.Machine learningMathematical optimization005.7Nicosia GiuseppeMiAaPQMiAaPQMiAaPQBOOK996464544503316Machine learning, optimization, and data science1949690UNISA