With a large dataset, limited computational resources or frequent new data to learn from, we can adopt what type of machine learning?
Online learning is a type of machine learning that can be used when a large dataset is limited in computational resources or if the data is frequently changing. It allows the system to learn from new data as it is being presented, rather than having to re-train the entire dataset each time new data is added. This makes it more efficient and effective than batch learning, as it only needs to process the new data and not the entire dataset. Online learning is often used in applications such as fraud detection, where new data is constantly being added and needs to be analyzed quickly.
Professor David Chalmers described consciousness as having two questions. What were these?
Professor David Chalmers described consciousness as having two questions: 'What is it like to be conscious?' and 'Can machines be conscious?'. The first question, 'What is it like to be conscious?', is an attempt to understand what it is like to experience the subjective aspects of consciousness, such as feeling, emotion, and perception. The second question, 'Can machines be conscious?', is an attempt to understand whether or not machines can have the same kinds of subjective experiences as humans. For more information, please see the BCS Foundation Certificate In Artificial Intelligence Study Guide or the resources listed above.
A vector in vector calculus is a quantity that has magnitude and direction.
What is a vector in computer programming?
In computer programming, a vector is a data structure that contains a collection of elements that are all of the same type. Each element in the vector has an associated index, which can be used to access and modify the element at that index. Vectors are commonly used to store collections of numerical values (e.g., integers or floating-point numbers) or strings, but they can also be used to store any type of data.
