Скачать или смотреть Soft Computing Lecture 21.2: Types of the learning, supervised and unsupervised learning in Hindi

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Supervised learning: Supervised learning, as the name indicates, has the presence of a supervisor as a teacher. Basically supervised learning is when we teach or train the machine using data that is well-labelled. Which means some data is already tagged with the correct answer. After that, the machine is provided with a new set of examples(data) so that the supervised learning algorithm analyses the training data(set of training examples) and produces a correct outcome from labeled data.

Unsupervised Learning: Unsupervised learning is the training of a machine using information that is neither classified nor labeled and allowing the algorithm to act on that information without guidance. Here the task of the machine is to group unsorted information according to similarities, patterns, and differences without any prior training of data.

Important Videos link:
Soft Computing Lecture 21.1: Introduction of the Neural Network in Hindi
   • Soft Computing Lecture 21.1: Introduction ...  

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