Tag Archive Time-Series Prediction

Time-Series Prediction Using A Simple RNN

For deeper networks, the obsession with image classification tasks seems to have also caused tutorials to appear on the more complex convolutional neural networks. This is great if you’re into that sort of thing, however, if someone is more interested in data with timeframes then recurrent neural networks (RNNs) come in handy.

Read the rest of the article at Mindboard’s Medium channel

LSTM for Time Series Prediction — Part I

A time series contains a sequence of data points observed at specific intervals over time. A time series prediction uses a model to predict future values based on previously observed values. The natural temporal order of time series data makes analysis of time series different from cross-sectional or spatial data analyses, neither of which depends on a time component.

Time series predictions can be useful in a variety of settings, from processing signal data streaming from a sensor at an industrial site to monitoring trends in a financial market or maintaining inventory in a commercial setting. In all these scenarios, recent data can be used to inform predictions about future goal values.

Read the rest of the article at Mindboard’s Medium channel.