AppliedAIPrep logoAppliedAI/Prep
← Machine Learning & Data Science / 54
hardGoogleAmazonApple

What is a Hidden Markov Model, and what does the Viterbi algorithm do?

HMMs are the classic probabilistic sequence model behind speech and tagging, and Viterbi is how you decode them. The signal is the hidden-states plus transitions/emissions structure, and that Viterbi is dynamic programming for the single best state path, not a probability.

Updated Aug 2026 · Grounded in real Applied AI Engineer interview loops and written to a senior-engineer editorial bar.

HMMs are the classic probabilistic sequence model behind speech and tagging, and Viterbi is how you decode them. The signal is the hidden-states plus transitions/emissions structure, and that Viterbi is dynamic programming for the single best state path, not a probability.

Unlock the other 750 answers · ₹2,000 / $25Your progress and mastery stay saved · 6 months · one payment · no auto-renew
UP NEXT ON YOUR JOURNEY
Next in this trackWhy does weight initialization matter, and what are Xavier and He initialization?Next in this trackWhat is the curse of dimensionality, and how does it affect ML?Next in this trackHow do you do feature selection (filter, wrapper, embedded methods)?
DISCUSSION · 0

No comments yet — be the first to share your approach.