Time Series data surrounds us - from stock prices to Sql Server performance metrics. It is time we to put it to use and improve tasks like baselining, benchmarking and monitoring. This session shows how to prepare data and develop models to predict the future. There is an overview of classical linear methods like ARIMA and how to apply them to get results on univariate time series forecasting problems. Next it covers methods based on neural networks to analyse complex multi-step, multivariate problems.

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