Your Guide to Quality Data Science Products

Data scientists must check if the story behind the data makes sense. This requires business knowledge about the data. It's our responsibility to be curious, to explore and challenge to avoid logical problems in the data to save clients money.

Our CTO used transfer learning to build an object detection model on a small dataset - the model can recognize certain animals in images.

shiny.info is an open-source package that allows developers to display R Shiny diagnostic information - Here's how to use it!

A diversity of panels at the hottest R event in Europe: Shiny dashboards, R implementations, , machine learning, community! + beer and a tour of Old Town Gdansk!

Useful tips to be more productive while working with R Studio. Part 2.

Unveiling secrets of black box models is no longer a novelty but a new business requirement.

Useful tips and shortcuts to be more productive while working with RStudio.

Filip personal experience from Gartner Data & Analytics Summit London 2019

Zipf’s law is an empirical law that states that many different datasets found in nature can be described using Zipf’s distribution.

In this tutorial I will explain the concept behind the Monte Carlo Tree Search (MCTS) algorithm and tell you about how it was used at the European Space Agency for planning interplanetary flights.

Article presents how to generate imagery based on satellite imagery with Generative Adversarial Networks (GANs).

Shiny is a great tool for fast prototyping, but often these prototypes become a production app. Why is scaling Shiny tricky? See 4 alternative architectures for serving Shiny.