Ebooks de Jean-Michel Poggi en PDF et EPUB

3 Livre(s)
Télécharger le livre : Interpretability for Industry 4.0 : Statistical and Machine Learning Approaches
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Interpretability for Industry 4.0 : Statistical and Machine Learning Approaches
Antonio Lepore , Biagio Palumbo , Jean-Michel Poggi
This volume provides readers with a compact, stimulating and multifaceted introduction to interpretability, a key issue for developing insightful statistical and machine learning approaches as well as for communicating modelling results in business and...

Editeur : Springer
Parution : 2022-10-19

PDF, ePub

52,74 €
Télécharger le livre : Random Forests with R
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Random Forests with R
Robin Genuer , Jean-Michel Poggi
This book offers an application-oriented guide to random forests: a statistical learning method extensively used in many fields of application, thanks to its excellent predictive performance, but also to its flexibility, which places few restrictions on the nature of...

Editeur : Springer
Parution : 2020-09-10

PDF, ePub

63,29 €
Télécharger le livre : Modeling and Stochastic Learning for Forecasting in High Dimensions
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Modeling and Stochastic Learning for Forecasting in High Dimensions
Anestis Antoniadis , Xavier Brossat , Jean-Michel Poggi
The chapters in this volume stress the need for advances in theoretical understanding to go hand-in-hand with the widespread practical application of forecasting in industry. Forecasting and time series prediction have enjoyed considerable attention over the last few...

Editeur : Springer
Parution : 2015-06-04
Collection : Lecture Notes in Statistics
PDF, ePub

147,69 €