Your Guide to Quality Data Science Products

How can you tell what a Neural Network is really looking at? Read on to learn how to see through the digital-looking glass.

Master the concept of analytical functions and under their place in modern day data science pipelines.

Pandas vs. Dplyr - Which one is better for data analysis and data science? Read our comparison to find out.

From programming to general mindset - everything you need to get hired as a data scientist.

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?

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.

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.

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.

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

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.

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

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.