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Differentiate between Deep Learning and Machine Learning.

Answer»

Deep Learning: Deep Learning is a subclass of Machine Learning in which a recurrent neural network and an artificial neural network are linked. The algorithms are constructed in the same way as machine learning algorithms are, however, there are many more levels of algorithms. The artificial neural network refers to all of the algorithm's networks put together. In much simpler terms, it mimics the human brain by connecting all of the neural networks in the brain, which is the concept of deep learning. It uses algorithms and a technique to tackle all types of complex problems.

Machine Learning: Machine learning is a SUBSET of Artificial INTELLIGENCE (AI) that allows a system to learn and grow from its experiences without having to be programmed to that level. Data is used by Machine Learning to learn and get accurate outcomes. Machine learning algorithms have the ability to learn and improve their performance by gaining more data. Machine learning is currently EMPLOYED in self-driving cars, cyber fraud detection, face RECOGNITION, and Facebook friend suggestion, among other applications. Learn More.

The following table illustrates the difference between them:

Deep LearningMachine Learning
Deep Learning is a subclass of Machine Learning.Machine Learning is a super-class of Deep Learning.
Deep Learning employs neural networks to represent data, which is a very distinct data representation (ANN).Machine Learning represents data in a DIFFERENT way than Deep Learning since it uses structured data.
In this, the output ranges from numerical values to free-form elements such as text or sound.In this, the output consists of numerical values 
It uses a neural network to evaluate data features and relationships by passing data through processing layers.It uses a variety of automated techniques to convert input into model functions and forecast future actions.
It usually deals with millions of data points. It usually deals with thousands of data points.
Machine Learning has evolved into Deep Learning. Essentially, it refers to the depth of machine learning.Artificial Intelligence has evolved into Machine Learning.


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