Dear Mazin,

Machine learning uses algorithms to parse data, learnfrom that data, and make informed decisions based on what it has learned. Deep learning structures algorithms in layers to create an artificial “neural network” that can learn and make intelligent decisions on its own. Deep learningis a subfield of machine learning

A nice explanation is given in Analytics Vidya [1], dzone [2], and others [3,4].

References:

[1] https://www.analyticsvidhya.com/blog/2017/04/comparison-between-deep-learning-machine-learning/

[2] https://dzone.com/articles/deep-learning-vs-machine-learning-the-hottest-topi

[3] https://deeplearning4j.org/whydeeplearning.html

[4] https://www.digitaltrends.com/cool-tech/deep-learning-vs-machine-learning-explained/

Thanks,

Sobhan

Dear Mazin,

Machine learning uses algorithms to parse data, learnfrom that data, and make informed decisions based on what it has learned. Deep learning structures algorithms in layers to create an artificial “neural network” that can learn and make intelligent decisions on its own. Deep learningis a subfield of machine learning

A nice explanation is given in Analytics Vidya [1], dzone [2], and others [3,4].

References:

[1] https://www.analyticsvidhya.com/blog/2017/04/comparison-between-deep-learning-machine-learning/

[2] https://dzone.com/articles/deep-learning-vs-machine-learning-the-hottest-topi

[3] https://deeplearning4j.org/whydeeplearning.html

[4] https://www.digitaltrends.com/cool-tech/deep-learning-vs-machine-learning-explained/

Thanks,

Sobhan

Sobhan has already provided an useful answer. However, the following link is also an interesting reading:

https://medium.com/iotforall/the-difference-between-artificial-intelligence-machine-learning-and-deep-learning-3aa67bff5991