Knowledge of the way how R evaluates expressions is crucial to avoid hours of staring at the screen or hitting unexpected and difficult bugs.

Tutorial on how to use Keras to analyze satellite imagery, pt 1/2.

Tutorial on how to use Keras to analyze satellite imagery, pt 2/2.

Testing automation can help reduce the risk of errors, avoid overhead and increase the quality of your R project. Read to learn more about CircleCI.

Introduction to R sentiment analysis by analyzing the subtitles of the top 5 romantic comedies - code and charts included!

Discover who is coming to eRum 2018 in Budapest while playing with an interactive data visualization in D3.js. Vist visualization’s page.

Meet Dominik Krzemiński, our Open Source Tech Lead.

Appsilon's semantic.dashboard R package is out - Here's everything you need to replace shinydashboard layout.

Update of the shiny.semantic package. Check out new features in v 0.2.0 CRAN release.

Overview of the Python Dash framework. Dash is a reactive framework for building Dashboards form Plotly.

Summary from eRum conference in Budapest. Top talks and video from Olga's talk about new Shiny packages: “Taking inspirations from proven frontend frameworks to add to Shiny with 6 new packages”

Tap into this tutorial to improve the design of your R Shiny dashboard with the semantic.dashboard package.

Filip Stachura, CEO at Appsilon Data Science spoke on Fintech Open Mic Night - Credit Scoring. Traditional credit scoring used financial history and basic info about the prospective borrower: job, address and so forth.

Are you interested in the internationalization of shiny apps? shiny.i18n package is everything you've been looking for.

Dominik gave a talk on satRday conference in Amsterdam. Here his summary of conference, list of best talks with resources and personal feedback.

Add routing to your R Shiny applications with shiny router - A new R package by Appsilon. Here's a quick getting started guide.

Many real estate developers use online systems for sales. Things become interesting when all available data is monitored on a weekly basis, and sales progress is analysed.

Olga tells her story about being women in the tech industry and her experience on working in Appsilon.

Introduction to the business potential of deep learning in satellite imagery.

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.

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

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.

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

Filip personal experience from Gartner Data & Analytics Summit London 2019

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

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

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

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!

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!

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.

Appsilon Data Science offers R Shiny open source packages that you can use for UI improvements, UI themes, translation, URL routing, and diagnostic display

How to use R in AWS Lambda With AWS Lambda, small and frequent jobs can be done without setting up an instance and keeping it “alive” waiting for requests

A short summary on useR conference in Toulouse, France.

AI will transform the insurance sector. Two techniques that will have the biggest impact are convolutional neural networks (CNNs) and recurrent neural networks (RNNs). The 3rd key to successful AI implementation: productionization

In this article we explore if machines can replace us (R programmers) in writing Shiny code. I'll show you some easy applications of a simple model of a recurrent neural network implemented in an R version of Keras