00862cam0-22003131i-450-99000595198040332120160323164428.0000595198FED01000595198(Aleph)000595198FED0100059519820000112d1815----km-y0itay50------baitay---n---000yyCodice civile generale austriaco. Parte 1-[3]Edizione seconda e sola ufficialeMilanodalla Cesarea regia stamperia18153 v.8°Italia.Milano346.436itaAustria428714Cesarea regia Stamperia650ITUNINARICAUNIMARCAQ990005951980403321VIII Z 121952FGBCVIII Z 21516432FGBCFGBCUNINA01430nam 2200385Ia 450 99638759900331620221108033321.0(CKB)1000000000626092(EEBO)2248560833(OCoLC)9920462100971(EXLCZ)99100000000062609219950918d1602 uy |engurbn||||a|bb|By the Queene[electronic resource] a proclamation for proceeding against Iesuites and secular priests, their receiuers, relieuers, and maintainersImprinted at London By Robert Barker, Printer to the Queenes most excellent MaiestieAnno Dom. 16023 leavesRequiring their departure from England.Imprint from colophon."Giuen at our Manour of Richmont [sic], the fift [sic] day of Nouember, in the foure and fourtieth yeere of our Reigne."Reproduction of original in: Harvard University. Library.eebo-0062Anti-CatholicismEnglandChurch and stateEnglandGreat BritainHistoryElizabeth, 1558-1603Anti-CatholicismChurch and stateElizabethQueen of England,1533-1603.996842EBKEBKWaOLNBOOK996387599003316By the Queene2299089UNISA01843nam0 22004093i 450 TO0093340720251003044408.0884642525120130827d2000 ||||0itac50 baitaitz01i xxxe z01nz01ncRDAcarrierˆLa ‰certificazione delle competenzeinnovazione e sostenibilitàGianfranco Auteri, Gabriella Di FrancescoMilanoF. Angeli2000124p.23 cm.ISAS8001CFI04872582001 ISAS8Formazione professionaleFIRCFIC016002E331.25920945FORMAZIONE PROFESSIONALE. Italia22370.113EDUCAZIONE PROFESSIONALE21370.113EDUCAZIONE PROFESSIONALE23Educazione al lavoroPreparazione professionaleIstruzione professionaleFormazione professionaleEducazione al lavoroFormazione professionalePreparazione professionaleFormazione professionaleIstruzione professionaleAuteri, GianfrancoTO0V396210070438027Di Francesco, GabriellaCFIV012052070438028ITIT-00000020130827IT-BN0095 NAP 01POZZO LIB.Vi sono collocati fondi di economia, periodici di ingegneria e scienze, periodici di economia e statistica e altri fondi comprendenti documenti di economia pervenuti in dono. TO00933407Biblioteca Centralizzata di Ateneo1 v. 01POZZO LIB.ECON MON 8479 01AR 0700304355E VMA 1 v. (Precedente collocazione (AR) 30 EC 435)B 2014072920140729 01Certificazione delle competenze68269UNISANNIO04969nam 22007935 450 991104909040332120260316104921.0981-9683-62-9978981968362810.1007/978-981-96-8362-8(CKB)44770003400041(MiAaPQ)EBC32484362(Au-PeEL)EBL32484362(OCoLC)1569920088(DE-He213)978-981-96-8362-8(EXLCZ)994477000340004120260102d2025 u| 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierData Science and Cases in Sustainability Pattern Recognition and Machine Learning /by Ashish Ghosh1st ed. 2025.Singapore :Springer Nature Singapore :Imprint: Springer,2025.1 online resource (0 pages)Mathematics for Sustainable Developments,3004-9024981-9683-61-0 Chapter 1. Evolution of Data Science -- Chapter 2. LearningDimensionality Reduction -- Chapter 3. Types of Data -- Chapter 4. Pre-processing of Data -- Chapter 5. Dimensionality Reduction -- Chapter 6. Pattern Recognition System -- Chapter 7. Classification -- Chapter 8. Classifiers -- Chapter9. Combination of Classifiers -- Chapter10. Clustering -- Chapter 11. Clustering Algorithms -- Chapter 12. Outliers -- Chapter 13. Fuzzy Set Theoretic Approach to Pattern Recognition -- Chapter 14. Rule of Thumb -- Chapter 15. Artificial Neural Networks -- Chapter 16. Multilayer Perceptron -- Chapter 17. Evolutionary Computing for Machine Learning -- Chapter 18. Support Vector Machine -- Chapter 19. Kernel Machines -- Chapter 20. Extreme Learning Machines -- Chapter 21. Deep Learning.This book discusses the fascinating world of data science and cases in sustainability focusing on topics related to pattern recognition and machine learning, emphasizing applications that directly address topics related to SDG 9 (Industry, Innovation and Infrastructure). Recognizing the sustainable applications of big data, this text emphasizes the shift from traditional statistical analyses to more sophisticated methods. Each of these techniques—pattern recognition and machine learning—plays a crucial role in extracting hidden knowledge from vast amount of data. Targeted to students, researchers and professionals, it highlights the multidisciplinary and sustainable nature of the field and showcasing real-world applications and equips the readers to navigate the data-driven future. The first of the two volumes, the book highlights the multidisciplinary nature of data science in the fields of computer science, statistics, physics and economics. It meticulously guides its readers through the data science workflow, covering data collection, preparation, storage, analysis, management and visualization. It highlights specific techniques and algorithms used in each of the above-mentioned stages and offers explanations of major learning mechanisms: dimensionality reduction, classification, clustering and outlier analysis. Additionally, it sheds light on the modern field of deep learning and unfolds the complexity of its mechanism with explanation. Case studies showcase the practical applications and successes of data science across various domains.Mathematics for Sustainable Developments,3004-9024Artificial intelligenceData processingQuantitative researchMachine learningImage processingDigital techniquesComputer visionData ScienceData Analysis and Big DataMachine LearningComputer Imaging, Vision, Pattern Recognition and GraphicsIntel·ligència artificialthubInvestigació quantitativathubDades massivesthubVisió per ordinadorthubProcessament de dadesthubLlibres electrònicsthubArtificial intelligenceData processing.Quantitative research.Machine learning.Image processingDigital techniques.Computer vision.Data Science.Data Analysis and Big Data.Machine Learning.Computer Imaging, Vision, Pattern Recognition and Graphics.Intel·ligència artificialInvestigació quantitativaDades massivesVisió per ordinadorProcessament de dades338.9270285Ghosh Ashish1346642MiAaPQMiAaPQMiAaPQBOOK9911049090403321Data Science and Cases in Sustainability4530827UNINA