Machine Learning

About Browse

Machine learning is a subfield of Artificial Intelligence that uses data and statistical methods to train algorithms, so they can predict human behaviour.

Due to the recent technological advances, machine learning applications are used in many everyday activities, such as talking to your mobile phone (speech recognition), choosing a movie from a streaming service (recommendation engines), or using a self-driving car (computer vision).

The aim of this collection is to create a common space for researchers exploring different aspects of Machine Learning, including different methods and algorithms.

A non-exhaustive list of topics includes:
 

  • Supervised learning
  • Unsupervised learning
  • Semi-supervised learning
  • Reinforcement learning
  • Pattern recognition
  • Natural language processing
  • Machine Listening