Summary
In this chapter, we have extensively examined how DataRobot could be used to build time series models. We briefly discussed the unique opportunities time series modeling presents businesses, as well as the challenges it presents for analysts and data scientists. We used DataRobot to create both single and multiple time series models. We also described how predictions could be made using models built by DataRobot. This was followed by a discussion on advanced aspects of DataRobot's time series capabilities.
Forecasting is extremely important to business because of its ability to foretell what is likely to occur in the future considering time-dependent variables. Another commercially valuable area is the ability to suggest the interest that differing clients would have for a wide array of products. This is where recommender systems come in.
In the next chapter, Chapter 10, Recommender Systems, we look at how DataRobot could be used to build recommender engines.
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