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.
