Statistical Perspective on Machine Learning


Keynote at Informatics Community 2017, Istanbul Arel University, Istanbul, Turkey

Link to slides

In this session, we talked about the equivalent of statistics and probability science in machine learning, which pieces of the puzzle represent, and probabilistic and statistical perspectives.
During the session, we talked about Markov model, Monte Carlo model, Markov Chain Monte Carlo, Metropolis-Hastings and Viterbi Algorithms. We talked about the applications of these models and algorithms in machine learning and their basis in theory.