COVID-19 Cases Outbreak Prediction using Supervise Learning Models

Anglický jazyk

COVID-19 Cases Outbreak Prediction using Supervise Learning Models

Vydavateľstvo: LAP LAMBERT Academic Publishing
Rok vydania: 2021
Formát: Paperback
Rozmer: 220 x 150 mm
Jazyk: Anglický jazyk
ISBN: 9786203863086

Na objednávku, dodanie 2-4 týždne

36.17 €

bežná cena: 41.10 €

O knihe

Authorities all over the world are using COVID-19 episode expectation models to make informed decisions and maintain necessary control steps. AI (ML)-based deciding components have proven to be useful in predicting perioperative outcomes and improving the dynamic of possible operations. For a long time, machine learning models have been used in a variety of applications that required recognisable proof and the prioritisation of unfavourable factors for a risk. To cope with anticipating problems, a few expectation strategies are commonly used. Authorities all over the world are using COVID-19 episode expectation models to make informed decisions and maintain necessary controls. AI (ML)-based deciding components have shown their worth in predicting perioperative outcomes and improving the dynamic of future operations. For a long time, machine learning models have been used in a variety of applications that needed recognisable proof and prioritisation of unfavourable factors for a danger. To cope with expecting problems, a few expectation strategies are in use.