To recap the differences between the two: Machine learning uses algorithms to parse data, learn from 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 learning is a particular kind of machine learning that achieves great power and flexibility by learning to represent the world as a nested hierarchy of concepts, with each concept defined in relation to simpler concepts, and more abstract representations computed in terms of less abstract ones.”
This is a very important question for many newcomers in the field of Machine Learning/Deep Learning/Data Science.
So, Today we are Gonna find this out:-
How Deep Learning is better in Terms of Curse of Dimensionality?
→ Look as we all know Deep Learning contains various layers and neurons which carry weights and with every epoch, we update the weights, and due to this Complex number of Hyperparameter Tuning, Deep Learning Techniques Decreases the Curse of Dimensionality.
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