Statistics and Computing.
概要
            | 作品: | 46 作品在 27 項出版品 27 種語言 | |
|---|---|---|
書目資訊
          
                  
                    Elements of network science = theory, methods and applications in Stata, R and Python /
                  
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                    Research in computational molecular biology = 29th International Conference, RECOMB 2025, Seoul, South Korea, April 26-29, 2025 : proceedings /
                  
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                    Methodological and applied statistics and demography I = SIS 2024, short papers, plenary and specialized sessions /
                  
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                    Methodological and applied statistics and demography II = SIS 2024, Short Papers, Solicited Sessions /
                  
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                    Statistics, society and environment = 35th FNE, Cuernavaca, Mexico, September 27-29, 2023 /
                  
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                    Methodological and applied statistics and demography.. III,. SIS 2024, short papers, contributed sessions 1
                  
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                    Methodological and applied statistics and demography. = SIS 2024, Short Papers, Contributed Sessions 2 /. IV
                  
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                    Proceedings of International Conference on information technology and applications = ICITA 2024 /
                  
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                        An Introduction to Statistics with Python = With Applications in the Life Sciences /
                      
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                        The Rise of Artificial Intelligence and Big Data in Pandemic Society = Crises, Risk and Sacrifice in a New World Order  /
                      
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                        Algorithmic Decision Making with Python Resources = From Multicriteria Performance Records to Decision Algorithms via Bipolar-Valued Outranking Digraphs /
                      
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                        Applied linear regression for business analytics with R = a practical guide to data science with case studies /
                      
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                        Quantitative methods for the social sciences = a practical introduction with examples in R /
                      
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                        SQL server analytical toolkit = using windowing, analytical, ranking, and aggregate functions for data and statistical analysis /
                      
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