Posted On: Apr 01, 2020
Reinforced learning is a type of machine learning that employs a trial and error method to find a solution to the problem. It is used in many software and machines to find the best possible path to get to the solution The agent (i.e) the learning model takes the action to maximize the reward in a particular situation. There is no need for labeled data in this type as the reinforcement agent decides what to do with the data given the task.
Never Miss an Articles from us.
Machine learning is the use of algorithms and data to perform specific tasks. ML is the process of giving the system the ability to learn from data using certain sophisticated algorithms. With the alg...
Supervised and unsupervised are the two types of Machine learning algorithms available. In the supervised type, the algorithms are applied to the known labeled data to formulate a model. Labeled data...
ROC curve is a graphical plot to illustrate the ability of a classifier system. Basically, this curve tells you how much a binary classifier system is capable of distinguishing between classes. This c...