{"text_format":"2","workbook":"xls","n_sheets":1,"sheets":["report2"],"not_rendered":{"charts":0,"images":0,"macros":0,"external_links":1,"defined_names":2,"comments":0,"pivot_tables":0},"unopened":[],"bounds":{"document_bytes":16777216,"sheet_cells":100000,"run_cost":"one","rows_first":2000,"rows_last":500,"rows_between":2000,"halvings":0,"cell_chars":16384,"cell_head_chars":4096},"cells_cut":0,"cells_raw":0,"read":"whole","date_system":"1900","formulas":"cached_only"}

{"sheet":"report2","index":0,"n_rows":37,"n_cols":5,"rows_kept":37,"cut":false,"hidden":false,"merged":[[0,2,0,3],[0,4,0,5],[1,2,1,3],[1,4,1,5],[2,2,2,3],[2,4,2,5],[3,2,3,3],[4,2,4,3],[5,2,5,3],[6,2,6,3],[7,2,7,3],[8,2,8,3],[9,2,9,3],[11,2,11,3],[11,4,11,5],[12,2,12,3],[12,4,12,5],[13,2,13,3],[13,4,13,5],[14,2,14,3],[15,2,15,3],[17,2,17,3],[18,2,18,3],[19,2,19,3],[20,2,20,3],[30,2,30,3],[31,2,31,3],[34,2,34,3]],"flags":["formulas_cached_only"]}
[null,"1.","Record Nr.",null,"UNINA990004449060403321"]
[null,null,"Autore",null,"Lefranc, E. <abate>"]
[null,null,"Titolo",null,"Les conflits : de la science et de la bible / E. Lefranc"]
[null,null,"Pubbl/distr/stampa",null,"Paris : E. Nourry, 1906"]
[null,null,"Descrizione fisica",null,"XII, 323 p. ; 18 cm"]
[null,null,"Disciplina",null,"202.4"]
[null,null,"Locazione",null,"FLFBC"]
[null,null,"Collocazione",null,"200/3 0080"]
[null,null,"Lingua di pubblicazione",null,"Francese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,"2.","Record Nr.",null,"UNINA9910300756803321"]
[null,null,"Autore",null,"Gupta Deepti"]
[null,null,"Titolo",null,"Applied Analytics through Case Studies Using SAS and R : Implementing Predictive Models and Machine Learning Techniques  / / by Deepti Gupta"]
[null,null,"Pubbl/distr/stampa",null,"Berkeley, CA : , : Apress : , : Imprint : Apress, , 2018"]
[null,null,"ISBN",null,"9781484235256"]
[{"$nulls":4},"1484235258"]
[null,null,"Edizione",null,"[1st ed. 2018.]"]
[null,null,"Descrizione fisica",null,"1 online resource (XX, 404 p. 99 illus.)"]
[null,null,"Disciplina",null,"519.502855369"]
[null,null,"Soggetti",null,"Big data"]
[{"$nulls":4},"Open source software"]
[{"$nulls":4},"Computer programming"]
[{"$nulls":4},"Mathematical statistics"]
[{"$nulls":4},"Business mathematics"]
[{"$nulls":4},"R (Computer program language)"]
[{"$nulls":4},"Big Data"]
[{"$nulls":4},"Open Source"]
[{"$nulls":4},"Probability and Statistics in Computer Science"]
[{"$nulls":4},"Business Mathematics"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references."]
[null,null,"Nota di contenuto",null,"Chapter 1: Role of Analytics in Various Industries -- Chapter 2: Banking Case Study with Analytical Solutions -- Chapter 3: Retail Case Study with Analytical Solutions -- Chapter 4: Telecommunication Case Study with Analytical Solutions -- Chapter 5: Healthcare Case Study with Analytical Solutions -- Chapter 6: Airline Case Study with Analytical Solutions -- Chapter 7: FMCG Case Study with Analytical Solutions. ."]
[null,null,null,"Sommario/riassunto","Examine business problems and use a practical analytical approach to solve them by implementing predictive models and machine learning techniques using SAS and the R analytical language. This book is ideal for those who are well-versed in writing code and have a basic understanding of statistics, but have limited experience in implementing predictive models and machine learning techniques for analyzing real world data. The most challenging part of solving industrial business problems is the practical and hands-on knowledge "]
[{"$nulls":4},"of building and deploying advanced predictive models and machine learning algorithms. Applied Analytics through Case Studies Using SAS and R is your answer to solving these business problems by sharpening your analytical skills. ."]