Seed dormancy is an actively studied biological phenomenon crucial in many areas of the economy and ecology - but how does it tie with computer vision?

The easiest guide to machine learning and simple and multiple linear regression with R.

Attractive data visualization matters. Learn how to make charts people will remember. Here's a complete guide to scatter plots with R and ggplot2.

Nobody likes a slow and unmaintainable Shiny dashboard. You should refactor yours right away.

Are you a developer or a business professional interested in technology? Then it's the right time to join Appsilon! We are looking for Engineering Managers, R Shiny Developers, Frontend Specialists, Infrastructure Engineers, and more.

Attractive data visualization matters. Learn how to make charts people will remember. Here's a complete guide to line charts with R and ggplot2.

Dash vs. Shiny - Which one is better in 2022? Python or R? See how they compare in terms of architecture, UI, and reactivity. A sample dashboard is included.

Learn to make data visualization people will remember. Here's a complete guide to bar charts with R and ggplot2.

Developing attractive dashboards can be difficult. We should know, we've been developing dashboards with R and R Shiny for years. Appsilon's open-source semantic.dashboard package allows you to rapidly develop great-looking dashboards.

How can a programmer benefit from using R? Whether you want to create web apps, REST APIs, machine learning models, or visualize data, R has something for you.

Explore the top 3 business intelligence tools and learn if building data-driven dashboards from scratch is worth the effort.

How to use shiny.router to implement routing in Shiny apps, plus some tips on styled navigation bars.

Exciting news! Appsilon has been listed as a Rising Star in the Deloitte Fast 50 CEE ranking list.

The R Community has spoken! See who won the People's Choice Award for Appsilon's internal shiny.semantic PoContest.

Are you a developer or a business professional interested in technology? Appsilon is hiring in multiple departments - from Growth to Tech. We are looking for R Shiny Developers, Front-end Specialists, Infrastructure Engineers, and more.

Here are the winners of our shiny.semantic PoContest as chosen by the Shiny team at R Studio. There's still time to vote for the People's Choice Award.

Appsilon team members Jędrzej Świeżewski, PhD and Damian Budelewski will be giving presentations at the Why R? Conference on November 12th.

Appsilon's list of tips for managing a successful kickoff meeting.

Vote for the People's Choice Award winner of the 2020 Appsilon shiny.semantic PoContest.

How do satellites take pictures? Can you process satellite images with R? Also, can you go to Space? Your questions meet our answers.

How does R Shiny compare to drag and drop visualization tools like PowerBI? Let's compare connectivity, performance, aesthetics, and ease of use.

Learn about how shiny.i18n allows you to quickly implement multi-language functionality in Shiny apps and take the user experience to the next level.

Learn about best practices and tools for starting your first deep learning image classification project. This article discusses PyTorch, TensorFlow, fastai, ResNet-50, ResNet-101, MobileNet, and several other concepts and tools.

In this video, Appsilon Co-Founder Damian Rodziewicz explains best practices for scaling Shiny applications in production to hundreds or even thousands of users.

Defining custom neural network architectures isn't necessary. Learn how to build a 99% accurate image classifier with Transfer Learning and PyTorch.

How does R Shiny compare to drag and drop visualization tools like Tableau? Let's compare performance, aesthetics, and ease of use.

In this video, Appsilon Engineer Pedro Silva explains the basics of Shiny UI and provides multiple Shiny dashboard examples.

Convolutional neural networks and deep learning don't have to be difficult subjects. Read this article if topics like input and output channels, kernels, strides, and receptive fields feel a bit fuzzy to you.

Switching from Excel to R Shiny? Learn how to migrate an analytics tool built with Excel and Google Sheets to an interactive Shiny dashboard.

Version 0.4.0 of shiny.semantic includes a CSS grid to a well-known R package. Learn how to make a Shiny App with CSS Grid.

PP-YOLO is a machine learning object detection framework based on the YOLO algorithm. In this article, we’ll explain what PP-YOLO is, why it is an improvement over YOLOv4, and show you how to use PP-YOLO for object detection.

In this video, Appsilon Senior Data Scientist Olga Mierzwa-Sulima explains best practices for data science teams – whether they are working in the office together or fully remote.

Appsilon has created a package to speed up R Shiny by offloading long-running calculations and unfreezing the Shiny UI.

This article will show you how to speed up R Shiny by pushing actions to the browser. You will learn how to omit the server bottleneck with updateInput, leverage CSS classes, and take advantage of JavaScript actions for smoother Shiny performance.

Recent research on weight poisoning attacks on pre-trained models in the area of NLP may transfer to the context of Computer Vision, where the usage of pre-trained weights is widespread.

Learn best practices for setting up a data science team and kicking off a data analytics project – remote or otherwise. I'll cover Scrum methodology, Asana, GitHub, Docker, renv, linter, and a variety of other tools and workflows.