Poggi, Jean-Michel.
Overview
            | Works: | 1 works in 0 publications in 0 languages | |
|---|---|---|
Titles
          
                  
                    Random Forests with R
                  
                  by: 
                  Genuer, Robin.; SpringerLink (Online service); Poggi, Jean-Michel.
                  (Language materials, printed)
                  , [http://id.loc.gov/vocabulary/relators/aut]
                  
                
                  
                    Interpretability for Industry 4.0 : Statistical and Machine Learning Approaches  
                  
                  by: 
                  SpringerLink (Online service); Palumbo, Biagio.; Poggi, Jean-Michel.; Lepore, Antonio.
                  (Language materials, printed)
                  , [http://id.loc.gov/vocabulary/relators/edt]
                  
                
                  
                    Modeling and Stochastic Learning for Forecasting in High Dimensions
                  
                  by: 
                  Poggi, Jean-Michel.; Brossat, Xavier.; SpringerLink (Online service); Antoniadis, Anestis.
                  (Language materials, printed)
                  , [http://id.loc.gov/vocabulary/relators/edt]
                  
                
                
          Subjects
          
            
              
                Statistics .
              
            
              
                Probability and Statistics in Computer Science.
              
            
              
                Bioinformatics.
              
            
              
                Big Data.
              
            
              
                Mathematical statistics.
              
            
              
                Mathematical Modeling and Industrial Mathematics.
              
            
              
                Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
              
            
              
                Statistics for Life Sciences, Medicine, Health Sciences.
              
            
              
                Statistics in Business, Management, Economics, Finance, Insurance.
              
            
              
                Statistics for Social Sciences, Humanities, Law.
              
            
              
                Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
              
            
              
                Statistical Theory and Methods.
              
            
              
                Big data.
              
            
              
                Mathematical models.