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What Are the Differences Between Machine Learning and Deep Learning?

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Machine Learning                        Deep Learning

Enables machines to take decisions on their own, based on past data

It needs only a small amount of data for training

Works well on the low-end system, so you don't need large machines 

Most features need to be identified in advance and manually coded

The problem is divided into two parts and solved individually and then combined

Enables machines to take decisions with the help of artificial neural networks

It needs a large amount of training data 

Needs high-end machines because it requires a lot of computing power 

The machine learns the features from the data it is provided

The problem is solved in an end-to-end manner

Post Graduate Program in AI and Machine Learning

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