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Serverless Machine Learning with Amazon Redshift ML
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In previous chapters, we discussed how you can use Amazon Redshift Machine Learning (ML) to easily create, train, and apply ML models using familiar SQL commands. We talked about how we can use supervised learning algorithms for classification or regression problems to predict a certain outcome. In this chapter, we will talk about how you can use your data in Amazon Redshift to forecast a certain future event using Amazon Forecast.
This chapter will introduce you to time-series forecasting on Amazon Redshift using Amazon Forecast (https://aws.amazon.com/forecast/), a fully managed time-series forecasting service, using SQL, and without moving your data or learning new skills. We will guide you through the following topics: