What Is Concept Learning In Machine Learning
In machine learning, our interest is in inductive learning and its based on formulating a generalized concept after observing a number of instances of examples of the concept. Concept Learning. Teaching a machine to distinguish between examples and non-examples of ideas such as symphony, anger, beauty, dog, cat etc. is called concept learning. In concept learning, we aim to use data to teach a machine to solve a binary classification problem. That is, to classify a data-point as either belonging to or not belonging ...
Concept Learning is a way to find all the consistent hypotheses or concepts. This article will help you understand the concept better. We have already covered designing the learning system in the previous article and Output: Application of Reinforcement Learning. Robotics: RL is used to automate tasks in structured environments such as manufacturing, where
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