**Simple and effective introduction to Bayes theorem and Hidden Markov Model (HMM)**
Luis Serrano has explained the underlying concepts of Bayes theorem and HMM in a friendly manner in this video lecture.

__It is a probabilistic approach used to calculate the probability of an event given the probability of another associated event.__**Bayes theorem:**

__It is a class of probabilistic models that helps us in unveiling a hidden sequence of events (finite set of events each representing a state) using an observed sequence of events (each observed event is emitted by a hidden state)__**Hidden Markov Model (HMM):**
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