Neural networks are a set of algorithms, that are designed to recognize patterns and deep learning is the name we use for “stacked neural networks” that is, networks composed of several layers. However, in recent years, Neural Networks have become one of the most popular trends in machine learning and have applications to many areas, including driverless cars and robotics, speech and image recognition, financial forecasting. Simple Exponential Smoothing and Autoregressive integrated moving average (ARIMA) are considered more traditional time series forecast models. Error: Random variability in the observations that cannot be explained by the model. Seasonality: Regular component, that observes the relatively short-term fluctuations of the series.Cycle: Long-term component, that defines the swings of the series.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |