COVID-19 Cases Outbreak Prediction using Supervise Learning Models

Name: COVID-19 Cases Outbreak Prediction using Supervise Learning Models
Brand: LAP LAMBERT Academic Publishing
SKU: 9786203863086
Price: 789 CZK
Availability: InStock

Autor: Brijesh Patel, Dhairya Vyas

Jazyk:

Vazba: Brožovaná

Vydavatel: LAP LAMBERT Academic Publishing

Dostupnost: Skladem u dodavatele

Odesíláme za 5-8 dnů

789 Kč

Authorities all over the world are using COVID-19 episode expectation models to make informed decisi...

Informace o knize

Autor

Brijesh Patel, Dhairya Vyas

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2021

Stránek

EAN

9786203863086

ISBN

6203863084

Enbook ID

36676129

Vydavatel

LAP LAMBERT Academic Publishing

Hmotnost

119

Rozměry

150 x 220 x 4

Kompletní popis

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.

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COVID-19 Cases Outbreak Prediction using Supervise Learning Models

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