Machine learning for the quantified self: on the art of learning from sensory data
Auteur :
Hoogendoorn, Mark / Funk, Burkhardt
Éditeur :
Springer International Publishing AG
ISBN :
9783319663074
Date de publication :
5 oct. 2017
Dimensions :
23,5 x 15,5 cm
Langue :
Anglais
Pays d'origine :
Suisse
This book explains the complete loop to effectively use self-tracking data for machine learning. While it focuses on self-tracking data, the techniques explained are also applicable to sensory data in general, making it useful for a wider audience.