Contact
Cum să cumpăr
Livrare
Consilier de cumpărături
Supervised and Unsupervised Learning for Data Science
engleză
263 b
30 de zile pentru retur bunuri
Clienții au cumpărat de asemenea
/
Carte broșată
138.05
lei
/
Carte broșată
198.43
lei
This book covers the state of the art in learning algorithms with an inclusion of semi-supervised methods to provide a broad scope of clustering and classification solutions for big data applications. Case studies and best practices are included along with theoretical models of learning for a comprehensive reference to the field. The book is organized into eight chapters that cover the following topics: discretization, feature extraction and selection, classification, clustering, topic modeling, graph analysis and applications. Practitioners and graduate students can use the volume as an important reference for their current and future research and faculty will find the volume useful for assignments in presenting current approaches to unsupervised and semi-supervised learning in graduate-level seminar courses. The book is based on selected, expanded papers from the Fourth International Conference on Soft Computing in Data Science (2018).Includes new advances in clustering and classification using semi-supervised and unsupervised learning;Address new challenges arising in feature extraction and selection using semi-supervised and unsupervised learning;Features applications from healthcare, engineering, and text/social media mining that exploit techniques from semi-supervised and unsupervised learning.
Informații despre carte
engleză
Categorii
Dăruiește această carte chiar astăzi
Este foarte ușor
1 Adaugă cartea în coș și selectează Livrează ca un cadou 2 Îți vom trimite un voucher în schimb 3 Cartea va ajunge direct la adresa destinataruluiAr putea de asemenea, să te intereseze
/
Carte broșată
71.42
lei
/
Carte broșată
83.20
lei
/
Carte broșată
72.05
lei
/
Carte broșată
47.12
lei
