For understanding the Reinforcement Learning, we need to know what it is actually. This type of machine learning is the most concerning area, in which the agents ought to take the action. These actions are used to maximization the notion of reward and this learning is one of the topRead More Reinforcement Learning

As we know, AI & machine learning are multidisciplinary fields and requires skills in multiple subjects including statistics, mathematics, and business analysis. The purpose of statistical inference in machine learning is quite important as it helps in dealing with uncertainty in the decision-making process. For machine learning, statistical inference canRead More Machine Learning, Reinforcement Learning

The most major valuables of supervised learning and reinforcement learning are enough to differentiate between the two. These valuables also define how these two differ from each other:   Supervised learning works with two main tasks: regression and classification. Whereas, reinforcement learning deals with exploitation.  Supervised learning works on existing sampleRead More Reinforcement Learning