Inverted Indexing and Scalable Search techniques Motivation The amount of data is growing exponentially every day and the volume has increased incredibly over the last few years. With this accelerated growth of data, it has now become important to search collections quickly to serve business decisions and customer queries both offline and online. To process large document collections quickly, at the order of billions to trillions of word per second, the search concept of inverted […]
An Insight of Time Series Traditional vs Deep Learning Technique Motivation There are most commonly five types of traditional time series models, which includes the following. They have played an important role in different industry for time-series forecasting. Autoregressive (AR), Moving Average (MA), Autoregressive Moving Average (ARMA), Autoregressive Integrated Moving Average (ARIMA), and Seasonal Autoregressive Integrated Moving Average (SARIMA) models. AR models have been known to express the current value of the time series linearly. […]
