what is the differenece between ml and dl?

Question

Accepted Answer

ML stands for machine learning, while DL stands for deep learning. DL is a subset of ML that uses neural networks to model and solve complex problems.

ML (Machine Learning) is a broader concept that involves algorithms and models that can learn from and make predictions or decisions based on data.
DL (Deep Learning) is a subset of ML that uses neural networks with multiple layers to model and solve complex problems.
DL requires a large amount of data and computational power compared to traditional ML techniques.
Examples of ML include linear regression, decision trees, and support vector machines, while examples of DL include convolutional neural networks and recurrent neural networks.

what is the differenece between ml and dl?

Popular interview questions of Machine Learning Engineer Intern

Top HR questions asked in Thirumoolar Software Machine Learning Engineer Intern