Chapter 8: Forecasting Using Time Series
Predicting future trends using historical data is one of the most fascinating activities that we can do with machine learning.
Making predictions based on historical data points and time series is particularly interesting and can be very useful in different industries. Forecasting can help us in predicting the future, but also in identifying anomalies in data that don't respect the expected pattern.
In this chapter, we'll focus on time series forecasting by using the ARIMA Plus algorithm. This technique can be used to predict numerical values in different fields, such as the sales of a company, the customers in a restaurant, stock prices, and the electricity consumption of a building.
To understand how we can use BigQuery ML to forecast trends and to effectively present our results, we'll go through the following topics:
- Introducing the business scenario
- Discovering time series forecasting
- Exploring and...
