Join us on an exciting and technical journey as we use Oracle AI technology and personal weather station data to build a machine learning model that can accurately predict rain six hours into the future! Our process will involve collecting and processing time series data, including various weather variables, and using neural network algorithms to model the relationship between these variables and the likelihood of precipitation. To ensure the accuracy of our model and provide a fascinating demonstration, we will use a time-series stepping evaluation process combined with a confusion matrix. With the help of Oracle's Autonomous Database and OML4SQL, we will be able to efficiently manage and process our datasets and deploy our model in a production environment. Come join us as we harness the power of data and machine learning to bring a new level of convenience and accuracy to weather forecasting!
Build And Deploy An OML4SQL AI To Predict Rain
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