Artificial Intelligence (AI) is a branch of computer science that aims to create intelligent machines that can perform tasks that typically require human intelligence, such as visual perception, speech recognition, decision-making, and language translation.
Machine Learning (ML) is a subfield of AI that uses algorithms and statistical models to enable computers to learn and make predictions or decisions based on data, without being explicitly programmed to perform a certain task. It provides the means to automatically improve the performance of a system by learning from data, without human intervention.
In essence, AI is the broad concept of creating machines that can simulate human intelligence, while ML is the specific technique of using data to train and make these machines more intelligent.
Here are some of the best websites for learning about Artificial Intelligence (AI) and Machine Learning (ML):
Coursera: Offers online courses in AI and ML from top universities and institutions, including deep learning, computer vision, and natural language processing.
edX: Offers a variety of AI and ML courses and programs, including topics such as deep learning, neural networks, and computer vision.
KDNuggets: A well-respected and comprehensive website that covers the latest news, articles, and tutorials on AI and ML.
Fast.ai: A non-profit organization that provides practical and cutting-edge courses on deep learning and ML, using the PyTorch framework.
arXiv: A repository of over a million scholarly articles on computer science and mathematics, including many related to AI and ML.
AI Stack Exchange: A question-and-answer site for people working in AI and ML, where you can ask and answer questions and connect with other experts in the field.
OpenAI: A research organization dedicated to advancing AI and ML, with a focus on developing and promoting friendly AI that benefits humanity as a whole.