Read about our experiment of using machine learning models in mobile game development — This post will tell you how two Data Scientists developed a machine-learning-powered mobile game starting from the idea to the publication process. You will understand what it takes to develop and publish a game as well as which tools and practices can help you. This post is not intended to…

Read this beginner’s guide to ML solutions deployment maintaining concurrency + load testing. Dive into our discussion on a data scientist’s deployment responsibilities. — For some time, I was exclusively focused on the research aspect of machine learning, developing custom machine learning solutions for different tasks. But lately, new projects have come in, and it’s sometimes faster to take care of the initial deployment myself than to seek help from other developers. …

Discussing product management in general and what is different when managing AI products — What if you have an idea of a product based on AI? You should not throw all your resources into the development of that product with just a vision in mind. It doesn’t matter whether you as an entrepreneur will handle this yourself or you will delegate this to someone…

Check out this step-by-step guide to developing a Rasa-based Telegram chatbot run locally from a Docker container. — In this article, I’ll be sharing the details of developing a Rasa assistant with custom actions (abilities) run locally from a Docker container and integrated into a Telegram bot. The best part is, you won’t need to install Rasa (which can be challenging) or even clone any repository. …

Discussing the concept of differentiating basic camera moves with OpenCV while walking through the code — Recently, I participated in the development of a tool that was supposed to extract different visual information from the video. Target information included people’s silhouettes, prevailing colors, and camera moves (e.g. zoom or dolly). …

Beginner’s guide to using TensorFlow lite models with Python and solving the pose matching task — In this post we’ll briefly go over running TensorFlow lite model with Python, parsing its output and solving the pose matching task commenting every meaningful piece of the code. It can be helpful for those who are starting to get familiar with TensorFlow and those encountering the pose matching task.

In this article, I’ll demonstrate how you can tune your neural network’s hyper-parameters and visualize the tuning/training processes in a fancy way with FAIR’s HiPlot. Backstory While scrolling over articles from the field, I came across news about FAIR’s HiPlot release. …