Naturallanguageprocessing, NLP, Machine Learning, Deep Learning, Artificial Intelligence.
probable sequence of states that led to the observed sequence of outputs. In this case, the most probable path is [‘Rainy’, ‘Rainy’, ‘Rainy’]. In conclusion, The Viterbi algorithm provides a way to find the most likely sequence of hidden states in a Hidden Markov Model given a set of observations.