Machine learning (ML) and deep learning (DL) - both are process of creating an AI-based model using the certain amount of training data but they are different from each other.

ML is used with an algorithm that can be supervised or unsupervised to implement the training data and build a model that can work automatically when used in real-life. While on the other hand deep learning is part for ML and having the more capability to understand the data or yo can say comprehend the data deeply to create artificial neural network.

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