Why Non-Stationarity shouldn’t be ignored in Time Series Forecasting?

A series is said to be stationary when the statistical properties (importantly mean, variance and auto-correlation from time series forecasting perspective) of the series is time invariant (i.e. don’t vary with the time). In simpler terms, when observed across any regular time intervals they will remain the same. However, this is a more of an… Read More Why Non-Stationarity shouldn’t be ignored in Time Series Forecasting?

Forecast and Prediction are not inter-changeable

Forecast and Prediction though seemingly synonymous, in literature, in analytics conversation they do possess a considerate difference. Most of the times in a casual manner both of these terms forecast and prediction are used quite interchangeably while referring to value estimates in future with certain probability. In reality, they need to be differentiated and as… Read More Forecast and Prediction are not inter-changeable

Google I/O 2018 showcases reinvention of products with AI

Google at its recently concluded Google I/O conference gave a teaser of a list of mind blowing things to await for in 2018. For a Data Scientist and a Machine Learning enthusiast these announcements are no less exciting than a Marvel movie. The announcements, besides introducing some pretty fascinating features, has showcased the depth and… Read More Google I/O 2018 showcases reinvention of products with AI