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 € Pošta 4.99 € Overseas 4.99 € Box Now 4.49 € GLS 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 €.

Explainable Machine Learning in Medicine

Name: Explainable Machine Learning in Medicine
Brand: Springer, Berlin
SKU: 44049991
Price: 82.43 EUR
Availability: InStock
Author: Karol Przystalski
ISBN: 9783031448768

Karol Przystalski

Rohit M. Thanki

Jezik

Engleski

Knjiga Tvrdi uvez

Libristo kod: 44049991

Nakladnici Springer, Berlin, veljača 2024

This book covers a variety of advanced communications technologies that can be used to analyze medic... Cijeli opis

Libristo kod: 44049991

199 b

82.43 €

Vanjske zalihe Šaljemo za 10-13 dana

30 dana za povrat kupljenih proizvoda

Kupci su kupili i

La Maison de Claudine Colette

Meki uvez

5.35 €

Angielski. Słowo do słowa. Dla zaawansowanych C1-C2 Katarzyna Kujawa

Meki uvez

10.00 €

Den Danske Skueplads, I Dens Historie: Fra De F?rste Spor Af Danske Skuespil Indtil Vor Tid Thomas Overskou

Meki uvez

30.74 €

Paddington besegít - Hangoskönyv Michael Bond

binding.

12.33 €

Disney Best of Les Grands classiques (Coloriages mystères) neuvedený autor

Meki uvez

20.63 €

Geografía: Diccionario etimológico crítico del Castellano Javier Goitia Blanco

Meki uvez

9.90 €

Beschreibung der hochfurstlicherzbischoeflichen Haupt- und Residenzstadt Salzburg und ihrer Gegenden Lorenz Hübner

Meki uvez

35.70 €

This book covers a variety of advanced communications technologies that can be used to analyze medical data and can be used to diagnose diseases in clinic centers. The book is a primer of methods for medicine, providing an overview of explainable artificial intelligence (AI) techniques that can be applied in different medical challenges. The authors discuss how to select and apply the proper technology depending on the provided data and the analysis desired. Because a variety of data can be used in the medical field, the book explains how to deal with challenges connected with each type. A number of scenarios are introduced that can happen in real-time environments, with each pared with a type of machine learning that can be used to solve it.