Laboratory for Learning From Data

Faculty: Malik Magdon-Ismail

Welcome to LFD-Lab. We deal with learning from anything data.

Research interests include:
  • algorithms for big data
  • machine learning: supervised, unsupervised, reinforcement
  • data mining and pattern recognition
  • social networks
  • probability and stochastic processes
  • computational finance
The premise of learning is that you want to understand some process, but you cannot solve this problem mathematically or analytically; instead, you have data from which you would like to learn/infer the process; and, be confident that you succeeded (or failed). Ultimately you will take some action based on your learning, and you would like to take the correct action.

This is a very broad premise, and it is no surprise that there are many applications.

Machine Learning Book

Learning From Data