Machine Learning vs Deep Learning Machine Learning - Machine Learning is the subset of AI (Artificial Intelligence) used to build models that learn and improve from the data provided to it without being explicitly programmed for it. The models are trained on a lot of data. The trained model performs on the new data and is expected to give the same or better outputs. It is used for speech recognition and image recognition. Deep Learning - Deep Learning is the subset of ML (Machine Learning) consisting of different types of Neural Networks such as Artificial Neural Network (ANN) and Convolutional Neural Network (CNN) which are made up of a number of layers depending on the model which learns from each other. It is inspired by the functioning of the human brain and tries to mimic the working of the brain. It is used for more complex problems like the automation of vehicles, visual recognition, and virtual assistants. Different types of Machine Learning Algorithms : 1. Regression Alg