  In recent years, artificial neural networks (ANNs) have won numerous contests
in pattern recognition and machine learning. ANNS have been applied to problems
ranging from speech recognition to prediction of protein secondary structure,
classification of cancers, and gene prediction. Here, we intend to maximize the
chances of finding the Higgs boson decays to two $\tau$ leptons in the pseudo
dataset using a Machine Learning technique to classify the recorded events as
signal or background.
