Machine Learning

"Machine learning (ML) is a field of inquiry devoted to understanding and building methods that 'learn', that is, methods that leverage data to improve performance on some set of tasks. It is seen as a part of artificial intelligence. Machine learning algorithms build a model based on sample data, known as training data, in order to make predictions or decisions without being explicitly programmed to do so. Machine learning algorithms are used in a wide variety of applications, such as in medicine, email filtering, speech recognition, and computer vision, where it is difficult or unfeasible to develop conventional algorithms to perform the needed tasks."


Project Goals

  • Apply Machine Learning to update the knowledge base representation off user profiles
  • Identify scenarios where ML can be applied and required inputs
  • Merge the results from ML with an explainable knowledge base