Difference Between Machine Learning and Neural Network

Machine Learning

Machine Learning falls under the larger canvas of Artificial Intelligence. Machine Learning seeks to build intelligent systems or machines that can automatically learn and train themselves through experience, without being explicitly programmed or requiring any human intervention.

Neural Network

The structure of the human brain inspires a Neural Network. It is essentially a Machine Learning model (more precisely, Deep Learning) that is used in unsupervised learning. A Neural Network is a web of interconnected entities known as nodes wherein each node is responsible for a simple computation. In this way, a Neural Network functions similarly to the neurons in the human brain.

Below us the difference between Machine Learning and Neural Network

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