Reinforcement Learning

Reinforcement Learning

Reinforcement Learning Problem The recent achievements of Reinforcement Learning across a wide range of tasks has sparkled a new interest for the topic across the academic and industry community. However it is not yet clear how to successfully use Reinforcement...
Auto ML

Auto ML

Auto ML Problem When designing a machine learning pipeline for a new problem, each stage of the output entails design choices, such as which strategy should be used to handle the missing data? How should the categorical data be transformed? How many trees should the...
Active learning

Active learning

Active Learning Business Before running any cutting-edge Machine Learning algorithms, we need labelled data – lots of it – and preferably in high quality. This data collection process is often very tedious and time consuming. It is usually an iterative...