In the previous chapters, we discussed Hidden Markov Models (HMMs) and various algorithms associated with inference in great theoretical detail. From this chapter onward, we will be discussing the use of HMMs.
HMMs are capable of predicting and analyzing time-based phenomena. Because of this, they can be used in fields such as speech recognition, natural language processing, and financial market prediction. In this chapter, we will be looking into applications of HMMs in the field of financial market analysis, mainly stock price prediction.
