Difference between Artificial Intelligence, Machine Learning, Deep Learning, and Data Science

Machine learning enables a machine to automatically learn from data, improve performance from experiences, and predict things without being explicitly programmed. Deep learning algorithms attempt to draw similar conclusions as humans would by continually analyzing data with a given logical structure. Q-learning is a model-free reinforcement learning algorithm to learn the value of an action in a particular state. It does not require a model of the environment, and it can handle problems with stochastic transitions and rewards without requiring adaptations. This field of engineering focuses on the design and manufacturing of robots.