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What is H2O AutoML

Chapter 2
Biomedical and Business Applications Using Artificial Neural Networks and Machine Learning
Learning algorithm within H 2 O open-source distributed machine learning platform that overlooks the process of finding candidate models using large datasets ( Marques et al., 2021 AU98: The citation "Marques et al., 2021" matches multiple references. Please add letters (e.g. "Smith 2000a"), or additional authors to the citation, to uniquely match references and citations. ).
Published in Chapter:
Survey of Applications of Neural Networks and Machine Learning to COVID-19 Predictions
Richard S. Segall (Arkansas State University, USA)
Copyright: © 2022 |Pages: 28
DOI: 10.4018/978-1-7998-8455-2.ch002
Abstract
The purpose of this chapter is to illustrate how artificial intelligence (AI) technologies have been used for COVID-19 detection and analysis. Specifically, the use of neural networks (NN) and machine learning (ML) are described along with which countries are creating these techniques and how these are being used for COVID-19 diagnosis and detection. Illustrations of multi-layer convolutional neural networks (CNN), recurrent neural networks (RNN), and deep neural networks (DNN) are provided to show how these are used for COVID-19 detection and prediction. A summary of big data analytics for COVID-19 and some available COVID-19 open-source data sets and repositories and their characteristics for research and analysis are also provided. An example is also shown for artificial intelligence (AI) and neural network (NN) applications using real-time COVID-19 data.
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