Besplatna dostava putem Box Now paketomata i Overseas kurirske službe iznad 69,99 €.

Provjerite status narudžbe

Pridružite se zajednici ljubitelja knjige iz cijelog svijeta i ostvarite mnoštvo pogodnosti. Izradite besplatni račun

Besplatna dostava Overseas kurirskom službom iznad 69.99 €

DPD kurir 3.99 € Hrvatska pošta 4.99 € Dostava Overseas 4.99 € Box Now 4.49 € GLS Kurir 4.99 € DPD točka 3.49 € GLS paketomat 3.99 €

Kontakt

Kako kupovati

Pomoć

Moj račun

▸ Prazno :-(

Besplatna dostava putem Box Now paketomata i Overseas kurirske službe iznad 69,99 €.

Machine Learning for Social Transformation

Name: Machine Learning for Social Transformation
Brand: Springer, Berlin
SKU: 46574853
Price: 236.94 EUR
Availability: InStock
Author: Jyotsna Kumar Mandal
ISBN: 9789819775316

Proceedings of EAIT 2024

Jyotsna Kumar Mandal

Debashis De

Jezik

Engleski

Knjiga Meki uvez

Libristo kod: 46574853

Nakladnici Springer, Berlin, studeni 2023

The book includes original unpublished contributions presented at the Eighth International Conferenc... Cijeli opis

Libristo kod: 46574853

572 b

236.94 €

Vanjske zalihe Šaljemo za 8-11 dana

Do 30 dana za povrat

Kupci su kupili i

Analyse Raisonnee de La Discussion Du Code Civil Au Conseil D'Etat, Contenant Le Texte Des Lois; Le Precis Des Observations Faites Sur Chaque Article, Jacques De Maleville

Meki uvez

25.22 €

Tři přednášky o gnozi Jan Kozák

Meki uvez

4.85 €

Konec utrpení v rodinách a vztazích Veronika Neumannová

Meki uvez

15.80 €

ArcheoFun T-Rex + Triceratops

Igračka

20.26 €

Enqu?tes pour un tableau disparu ? Salers Association La Méridienne Du Monde Rural

Meki uvez

11.14 €

The book includes original unpublished contributions presented at the Eighth International Conference on Emerging Applications of Information Technology (EAIT 2024), organized by Computer Society of India, Kolkata Chapter during 12 - 13 January 2024. The Theme of the conference is "Machine Learning for Social Transformation". The book covers the topics such as computational intelligence for social transformation, machine learning for healthcare informatics, and machine learning for agriculture and environmental sustainability.