Starting today (from the 5th of July), the free tier is available for Robotika users. The first $500 you spent on Robotika servers will be compensated. We decided to give users a free tier for two reasons: Certainly, we made everything in our power to ensure that Robotika is user-friendly…

Today we will discuss the problems of Deploying Machine Learning algorithms. According to Forbes [1], approximately 9 out of 10 ML algorithms cannot go to production. It means that roughly 9 out of 10 USD spent on data science does not have a return! …

In this post, we will describe the common practices that could be useful for improving your experience with Robotika. We will show how to access the output of the pipeline, how to take advantage of logging, and what to do in case you are stuck. 1. Output. As soon as…

In this tutorial, we start investigating the Robotika platform. As a representative example, we have chosen a pretty famous fraud detection data set from Kaggle (Credit Fraud Detection). The data set is relatively small (~ 100MB). …

We want to introduce Robotika.ai, the tool for Perpetual Machine Learning. The goal for Robotika is to make the deployment of ML solutions quick and comfortable for Data Scientists. There are four main aspects of Robotika that we would like to discuss here. 1. The Cycle. Robotika can be used…