Explain HMM.
HMM or Hidden Markov model is a process which predicts unknown variable by studying a set of known or observed variables. The taggers of HMM algorithm only requires a lexicon and untagged text for training the model. It calculates the probabilities of the parts of speech of words and to make the language model automatically with very less effort.
The below flowchart shows the prediction of activities based on weather conditions.
