Question

Explain the term Deep learning and Machine learning​

Answer 1

Machine Learning:- 

it is a subset of Artificial Intelligence that enables machines to improve at tasks with experience (data). The intention of Machine Learning is to enable machines to learn by themselves using the provided data and make accurate Predictions/ Decisions

Deep Learning:- 

It enables software to train itself to perform tasks with vast amounts of data. In Deep Learning, the machine is trained with huge amounts of data which helps it in training itself around the data. Such machines are intelligent enough to develop algorithms for themselves. Deep Learning is the most advanced form of Artificial Intelligence out of these three. Then comes Machine Learning which is intermediately intelligent and Artificial Intelligence covers all the concepts and algorithms which, in some way or the other mimic human intelligence. 

There are a lot of applications of AI out of which few are those which come under ML out of which very few can be labelled as DL. Therefore, Machine Learning (ML) and Deep Learning (DL) are part of Artificial Intelligence (AI), but not everything that is Machine learning will be Deep learning.

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Study more about Machine Learning at  Machine Learning Class 10

Comments

This is a great article! Thank you very much.
Deep Learning is very important when we dealing with unstructured data.
If the data is too simple or incomplete, it is very easy for a deep learning model to become overfitted and fail to generalize well to new data.

Thanks for sharing this informative article.
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