What are the applications of dynamic programming in machine learning?
Dynamic programming is used in machine learning for optimization problems, such as in reinforcement learning and sequence prediction.
Can you give an example of how it's used in reinforcement learning?
Sure! In reinforcement learning, dynamic programming helps in calculating the value functions, which are essential for making optimal decisions.
What about its role in natural language processing?
In NLP, dynamic programming is used in algorithms like the Viterbi algorithm for sequence alignment and parsing.
Are there any limitations to using dynamic programming in machine learning?
Yes, dynamic programming can be computationally expensive and may not be feasible for very large state spaces.
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