Learn how to add custom CSS to your Shiny apps and make them visually stunning by using style sheets in your project’s www folder.

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

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

A short summary on useR conference in Toulouse, France.

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

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

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.

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.