Poggi, Jean-Michel.
Overview
Works: | 24 works in 3 publications in 1 languages |
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Titles
Interpretability for Industry 4.0statistical and machine learning approaches /
by:
Lepore, Antonio.; Palumbo, Biagio.; Poggi, Jean-Michel.; SpringerLink (Online service)
(Electronic resources)
Random forests with R
by:
Genuer, Robin.; Poggi, Jean-Michel.; SpringerLink (Online service)
(Electronic resources)
Modeling and stochastic learning for forecasting in high dimensions
by:
Antoniadis, Anestis.; Brossat, Xavier.; Poggi, Jean-Michel.; SpringerLink (Online service)
(Electronic resources)
Subjects
Time-series analysis.
Stochastic models.
Statistics for Social Sciences, Humanities, Law.
Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
Bioinformatics.
Industry 4.0
Statistical Theory and Methods.
R (Computer program language)
Statistics for Life Sciences, Medicine, Health Sciences.
Big Data.
Machine learning
Statistics in Business, Management, Economics, Finance, Insurance.
Forecasting
Statistics.
Mathematical Modeling and Industrial Mathematics.
Probability and Statistics in Computer Science.
Industry 4.0.
Mathematical statistics.