Selected article for: "accuracy forecast and activation function"
Author: Choudhary, A.
Title: Using Machine Learning along with Data Science algorithms to pre-process and forecast COVID-19 Cases and Deaths
  • Cord-id: apmj5bbd
  • Document date: 2021_3_17
    • ID: apmj5bbd
    Snippet: The Covid-19 pandemic has taken a major toll on the health and state of our global population. With tough decisions for allocating resources(i.e. vaccines) and attention toward particular areas are being made, forecasting through machine learning has become more important than ever. Moreover, as vaccines are being brought to the public and cases are going down, it is time that we reflect on where the pandemic has taken the most toll: in order for us to make future reform. This research illustrat
    Document: The Covid-19 pandemic has taken a major toll on the health and state of our global population. With tough decisions for allocating resources(i.e. vaccines) and attention toward particular areas are being made, forecasting through machine learning has become more important than ever. Moreover, as vaccines are being brought to the public and cases are going down, it is time that we reflect on where the pandemic has taken the most toll: in order for us to make future reform. This research illustrates different models and algorithms for COVID-19 forecasting: Auto Regressive models and Recurrent Neural Networks(RNNs). The results show the true potential of RNNs to work with sequential and time-series data to forecast future cases and deaths in different states. As the paper utilizes the tanh activation function and multiple LSTM layers, the research will show the importance of machine learning and its ability to help politicians make decisions when it comes to helping states during the pandemic and future reform. The data will also pre-process the time-series data using rolling statistics and will clean the data for the auto-regressive model and RNN layers to be applied. Thus, we show that along with Recurrent Neural Network layers, activation functions also play a crucial role in the accuracy of the forecast. Machine Learning | Data Science | COVID-19 | Forecasting | Health

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