Data Science

The critical ingredient of data science is the use of time series analysis in which meaningful information about data obtained through time is gathered. Time series analysis involves very powerful…

Bayesian methods are now a cornerstone of modern data science, providing a solid framework for statistical inference and decision-making under uncertainty. They are based on Bayes' theorem and, therefore, can…

Synthetically created data is gaining great importance and usage in the field of data science. Such kind of data does not arise as a result of events in reality but…

The world of data science is constantly changing, mainly because of the factors of technological improvements, increasing volumes of data, and the growing dependence on data in decision-making processes. As…

It is intimidating to make the transition from a non-technical background into data science, but with the right approach, it's possible. Regardless of the business, social sciences, arts, or any…