Machine learning and deep learning are subfields of artificial intelligence (AI) that involve using algorithms and models to enable machines to learn from data and make predictions or decisions without explicit instructions from humans.

Machine learning involves training algorithms to learn from data and make predictions based on patterns and relationships in the data. Supervised learning, unsupervised learning, and reinforcement learning are the three main types of machine learning.

Deep learning is a subset of machine learning that involves training neural networks with multiple layers to learn complex representations of data. Deep learning algorithms can be used for a range of applications, including image and speech recognition, natural language processing, and self-driving cars.