Machine learning is a subfield of artificial intelligence (AI) that focuses on developing algorithms and models that enable computers to learn from data and make predictions or decisions without being explicitly programmed to do so. Machine learning algorithms can learn patterns and relationships in large datasets, and then use that knowledge to make predictions or decisions about new data.
Artificial intelligence, on the other hand, is a broad field that includes machine learning as one of its subfields. AI refers to the development of computer systems that can perform tasks that typically require human intelligence, such as recognizing speech, understanding natural language, making decisions, and even learning to adapt to new situations.
In general, machine learning is a set of techniques that enable computers to learn from data, while AI is a broader field that encompasses many different techniques for creating intelligent computer systems.
Machine learning is a subfield of artificial intelligence (AI) that involves the development of algorithms and statistical models that enable computer systems to learn from data, without being explicitly programmed. In other words, machine learning enables computers to automatically improve their performance on a specific task as they are exposed to more and more data.
Artificial intelligence, on the other hand, is a broader field that encompasses the development of intelligent machines that can perform tasks that would normally require human intelligence, such as perception, reasoning, learning, and problem-solving. AI involves not only machine learning but also other approaches such as expert systems, knowledge representation, natural language processing, and robotics, among others.
In summary, machine learning is a subset of AI that focuses on enabling computers to learn from data, while AI is a broader field that aims to develop intelligent machines capable of performing human-like tasks.
Here are some authoritative sources for Artificial Intelligence and Machine Learning regulation:
The Information Commissioner's Office (ICO): https://ico.org.uk/
The ICO is an independent authority in the UK that promotes and enforces data protection laws. They provide guidance and resources on data protection considerations in AI and machine learning.
The Centre for Data Ethics and Innovation (CDEI): https://www.gov.uk/government/organisations/centre-for-data-ethics-and-innovation
The CDEI is an advisory body in the UK that provides independent advice on how to ensure that data-driven technologies, including AI and machine learning, are used ethically and responsibly.
The UK Government's Office for AI: https://www.gov.uk/government/organisations/office-for-artificial-intelligence
The Office for AI is a UK government organization that provides strategic leadership on the development and use of AI and machine learning in the UK.
The British Standards Institution (BSI): https://www.bsigroup.com/
The BSI is a UK-based international standard-setting organization that provides guidance and standards on various topics, including AI and machine learning.
The Royal Society: https://royalsociety.org/
The Royal Society is a UK-based scientific academy that provides guidance and resources on the development and use of emerging technologies, including AI and machine learning.