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."

[Wikipedia]

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