Reinforcement Learning: Introduction Reinforcement Learning is a scheme of training machine learning models in which a certain agent’s actions in an environment (typically in the form of moves in a game played by the agent) are adjusted over time. Adjustments are made by reinforcing those which lead to a ...

Assisting genetic research with computer vision To improve the detection of genetic signatures in seeds correlated with their dormancy, we have trained computer vision models, which captured more than was previously understood about the mechanisms of dormancy. New to computer vision? Read our guide on getting started with fastai, ResNet, ...

Analyzing satellite images isn’t exclusively reserved for governments and large corporations. At Appsilon, we’ve spent countless hours working and even writing about analyzing these types of images. As the quality, quantity, and accessibility of satellite images improves, there are more and more satellite image datasets readily available. As ...

This talk was presented virtually at eRum 2020 and useR 2020. Learn more about Appsilon‘s ML wildlife preservation project here. Yes, R programmers can make machine learning models, too! In this presentation, we will discuss using the latest techniques in computer vision as an important part of “AI for Good” efforts, ...