Role Of Dynamic Programming In Machine Learning - Analytics India Magazine

Since machine learning (ML) models encompass a large amount of data besides an intensive analysis in its algorithms, it is ideal to bring up an optimal solution environment in its efficacy. This is where dynamic programming comes into the picture. It is specifically used in the context of reinforcement learning (RL) applications in ML. It is also suitable for applications where decision processes are critical in a highly uncertain environment. In this article, we explore the nuances of dynamic programming with respect to ML. Dynamic Programming (DP) is one of the techniques available to solve self-learning problems.