Study of the Associated Production of $t\bar{t}$ and Higgs with the ATLAS Detector

The observation of the production cross-section of a top-antitop pair in association with the Higgs boson ($t\bar{t}H$) with the ATLAS detector is one of the highest priorities in the physics plan at 13 TeV energies. MultiVariate Analysis techniques are planned to be implemented in the $t\bar{t}H$ multi-lepton channel during Run 2 data analysis as an improvement to the "cut and count" method used in Run 1. In this work, the Boosted Decision Trees and Neural Network algorithms are tested in $t\bar{t}H$ final states with two leptons with same sign electric charge and adjusted in order to obtain better sensitivity and higher separation power between signal and background compared to the counting experiment from Run 1.