The real world is perceived and broken down as data, models and algorithms in the eyes of physicists and engineers.
Tools such as Random Matrix Theory and the study of large sample covariance matrices can efficiently pro.
The recent emergence of Big Data and the required computing power to analyse them have rendered classical tools outdated and insufficient.
Data is noisy by nature and classical statistical tools have so far been successful in dealing with relatively smaller levels of randomness.
The real world is perceived and broken down as data, models and algorithms in the eyes of physicists and engineers