This document discusses machine learning solutions that Splunk customers need, including outlier detection and forecasting. It describes using the DensityFunction algorithm in Splunk to perform outlier detection by fitting a density function to data to determine the likelihood of new data points. It also discusses using the StateSpaceForecast algorithm for forecasting by building a statistical model to predict future values based on historical data. The document provides examples of using the DensityFunction and StateSpaceForecast algorithms through Splunk commands and cautions about properly preparing data.