What Is Viterbi Algorithm? - Next LVL Programming

What Is Viterbi Algorithm? In this informative video, we’ll dive into the Viterbi algorithm, a technique that plays a vital role in understanding hidden processes through observable outcomes. We’ll start by discussing the concept of Hidden Markov Models (HMMs) and how they relate to the Viterbi algorithm. You’ll learn about the key components that make this algorithm effective, including transition probabilities, emission probabilities, and initial state probabilities.

We will also walk you through the step-by-step process of how the algorithm works, from initializing probabilities to backtracking for the most likely sequence of hidden states. This method has numerous applications across various fields, such as speech recognition, bioinformatics, and natural language processing.

Additionally, we’ll share optimization techniques that enhance the algorithm's performance, including pruning, logarithmic operations, and beam search. Whether you're a student, a professional in tech, or simply someone curious about algorithms, this video will provide you with a clear and concise understanding of the Viterbi algorithm and its significance in modern technology. Join us for this enlightening discussion, and don’t forget to subscribe for more engaging content on programming and coding!

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