You might also like

More about COVID-19 Cases Outbreak Prediction using Supervise Learning Models

• Book details
• Synopsis
• Trending among others

You get 95 loyalty points

Book synopsis

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.

Book details

Book category Books in German Naturwissenschaften, Medizin, Informatik, Technik Informatik, EDV Informatik, EDV - Sonstiges

• Full title: COVID-19 Cases Outbreak Prediction using Supervise Learning Models
• Author: Brijesh Patel, Dhairya Vyas
• Language: English
• Binding: Paperback
• Number of pages: 68
• EAN: 9786203863086
• ISBN: 6203863084
• ID: 36676129
• Publisher: LAP LAMBERT Academic Publishing
• Weight: 119 g
• Dimensions: 220 × 150 × 4 mm
• Date of publishing: 04. June 2021

Trending among others

---

---

---