Mathematical problems in data science: theoretical and practical methods
Auteur :
Chen, Li M. / Su, Zhixun / Jiang, Bo
Éditeur :
Springer International Publishing AG
ISBN :
9783319797397
Date de publication :
14 mars 2019
Dimensions :
23,5 x 15,5 cm
Langue :
Anglais
Pays d'origine :
Suisse
This book describes current problems in data science and Big Data. Key topics are data classification, Graph Cut, the Laplacian Matrix, Google Page Rank, efficient algorithms, hardness of problems, different types of big data, geometric data structures, topological data processing, and various learning methods.