NLP, Machine Learning, Deep Learning, Artificial Intelligence, AI.
to ‘Sunny’, 0.4, multiplied by the emission probability from the ‘Sunny’ state to ‘Bike’ at time t+1, 0.3, and then multiplied by the backward variable of the ‘Sunny’ state at time t+1, 1. The result is 0.12. The transition probability from ‘Rainy’ to ‘Rainy’, 0.6, multiplied by the emission