What is the difference between cloud computing and machine learning?

Cloud computing and machine learning are two distinct concepts in the field of technology.

Cloud computing refers to the delivery of computing services, including storage, databases, software, and networking, over the internet. It allows users to access and utilize these resources on-demand, without the need for physical infrastructure or local servers. Cloud computing provides a flexible and scalable solution for businesses and individuals to store and process data, run applications, and access various services remotely.

On the other hand, machine learning is a subset of artificial intelligence (AI) that focuses on enabling computer systems to learn and improve from experience without being explicitly programmed. It involves the development of algorithms and models that allow computers to analyze and interpret data, identify patterns, and make predictions or decisions based on the available information. Machine learning algorithms are designed to automatically learn and adapt from data, enabling them to perform tasks such as image recognition, natural language processing, and data analysis.

In summary, while cloud computing is a technology infrastructure that provides computing resources over the internet, machine learning is an AI technique that enables computers to learn and improve from data. Cloud computing can be used to support machine learning by providing the necessary computational power and storage for training and deploying machine learning models.