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.

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

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

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.

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

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

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

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.

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

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”

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

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

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

Meet Dominik Krzemiński, our Open Source Tech Lead.

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

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

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.

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

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

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

We find having a Shiny App that allows for Excel export to be a good compromise between R/Shiny and Excel.

This article presents our opinions and suggestions on how an Advanced Analytics department should operate.

The price you paid for your plane ticket is not the same as the person sitting next to you. Learn more about Dynamic Pricing.

Learn all about the upcoming R promises package: how to use it and how it is different from the already existing future package.

Olga Mierzwa-Sulima went over the main challenges of scaling a Shiny application and the methods we used to resolve them.

We will show how to perform multivariate random sampling using one of the Markov Chain Monte Carlo (MCMC) algorithms, called the Gibbs sampler.

We at Appsilon are excited about RStudio introducing promises in R!

Earlier this week, I had the immense pleasure to attend EARL in London, we spoke about scaling Shiny app to 700 users.

We will try to build a strong classifier using H2O and R on Zalando MNIST dataset.

We’ve build an internationalization package for shiny and have open sourced it for all to use.

Our CTO Marek Rogala gave an engaging talk about Google Docs-like live collaboration in Shiny at the User Conference in Brussels.

Four examples of how data science and machine learning can be used in online and offline retail.

Tutorial on how to build a Shiny chat in few lines of code.

Benchmark showing speed of data loading from files by using different methods.