Supervised Machine Learning - Couverture souple

Kolosova, Tanya; Berestizhevsky, Samuel

 
9780367538828: Supervised Machine Learning
Couverture souple
ISBN 10 : 0367538822 ISBN 13 : 9780367538828
Editeur : Chapman and Hall/CRC, 2022

Synopsis

AI framework intended to solve a problem of bias-variance tradeoff for supervised learning methods in real-life applications. It comprises of bootstrapping to create multiple training and testing data sets, design and analysis of statistical experiments and optimal hyper-parameters for ML methods.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos de l?auteur

Tanya Kolosova is a statistician, software engineer, an educator, and a co-author of two books on statistical analysis and metadata-based applications development using SAS. Tanya is an actionable analytics expert, she has extensive knowledge of software development methods and technologies, artificial intelligence methods and algorithms, and statistically designed experiments.

Samuel Berestizhevsky is a statistician, researcher and software engineer. Together with Tanya, Samuel co-authored two books on statistical analysis and metadata-based applications development using SAS. Samuel is an innovator and an expert in the area of automated actionable analytics and artificial intelligence solutions. His extensive knowledge of software development methods, technologies and algorithms allows him to develop solutions on the cutting edge of science.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
Chapman and Hall/CRC
Date d'édition
2022
Langue
anglais
ISBN 10 
0367538822
ISBN 13 
9780367538828
Reliure
Broché
Nombre de pages
182
Coordonnées du fabricant
non disponible
Personne responsable
non disponible

Autres éditions populaires du même titre

9780367277321: Supervised Machine Learning: Optimization Framework and Applications With SAS and R

Edition présentée

ISBN 10 :  0367277328 ISBN 13 :  9780367277321
Editeur : Chapman & Hall/CRC, 2020
Couverture rigide