Data Science

Python and R are the most popular programming languages in Data Science. These two languages are common in use, among many others. While R is significantly strong in its feature…

Apache Spark is perhaps the most powerful and versatile tool to have entered the data scientist's toolkit. This tool has great speed in processing large datasets while being relatively easy…

Cloud development, growth, and evolution to ensure scalable powerful computing resources are never more needed than now. Data science projects require lots of data sets and extensive calculations; cloud computing…

Recommendation engines are nowadays omnipresent within our digital lives and guide users through the best possible choices of films, products, music, and much more. In this aspect, Netflix, Amazon, Spotify,…

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…