Data Science and Databases

Python and R empower data scientists to solve problems using elegant syntactic sugar, simplifying coding and solution exploration. Each language brings its unique capabilities and approach to bear.

Microsoft's Power BI is one of the most popular software solutions used to perform social network analysis. Here's how to create custom Power BI visuals in R for compelling and flexible results.

Understanding total spend is a common challenge for cloud users, especially on projects with complex pricing models. This article explores the top AWS cost optimizations that will help you scale your platform effectively.

Centrality and text analysis allow users to get more out of their social network data. Here’s how you can leverage them using R and Gephi.

Colloquial language doesn’t lend itself to computation. That’s where natural language processing steps in. Learn how topic modeling helps computers understand human speech.

Thanks to rapid advances in technology, large amounts of data generated on social networks can be analyzed with relative ease, especially for those who use the R programming language and Gephi.

Serving map clusters to a mobile app can cause a significant performance bottleneck. Fortunately, it's a problem that can be solved with this caching strategy.

Two heads are better than one. This proverb describes the concept behind ensemble methods in machine learning. Let's examine why ensembles dominate ML competitions and what makes them so powerful.