Well, that was timely! We now know what time series data is, how to represent it in Go, how to make some forecasts, and how to detect anomalies in our time series data. These skills will come in useful anytime you are working with data that is changing with time, whether its data related to stock prices, or monitoring data related to your infrastructure.
In the next chapter, we will level up our Go-based machine learning by looking at a few advanced techniques, including neural networks and deep learning.
