Machine Learning and Data Analytics for Predicting Managing and Monitoring Disease is popular PDF and ePub book, written by Roy, Manikant in 2021-06-25, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Machine Learning and Data Analytics for Predicting Managing and Monitoring Disease can be Read Online from any device for your convenience.

Machine Learning and Data Analytics for Predicting Managing and Monitoring Disease Book PDF Summary

Data analytics is proving to be an ally for epidemiologists as they join forces with data scientists to address the scale of crises. Analytics examined from many sources can derive insights and be used to study and fight global outbreaks. Pandemic analytics is a modern way to combat a problem as old as humanity itself: the proliferation of disease. Machine Learning and Data Analytics for Predicting, Managing, and Monitoring Disease explores different types of data and discusses how to prepare data for analysis, perform simple statistical analyses, create meaningful data visualizations, predict future trends from data, and more by applying cutting edge technology such as machine learning and data analytics in the wake of the COVID-19 pandemic. Covering a range of topics such as mental health analytics during COVID-19, data analysis and machine learning using Python, and statistical model development and deployment, it is ideal for researchers, academicians, data scientists, technologists, data analysts, diagnosticians, healthcare professionals, computer scientists, and students.

Detail Book of Machine Learning and Data Analytics for Predicting Managing and Monitoring Disease PDF

Machine Learning and Data Analytics for Predicting  Managing  and Monitoring Disease
  • Author : Roy, Manikant
  • Release : 25 June 2021
  • Publisher : IGI Global
  • ISBN : 9781799871903
  • Genre : Computers
  • Total Page : 241 pages
  • Language : English
  • PDF File Size : 8,8 Mb

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