What is knowledge representation in AI?

Knowledge representation is the part of AI, which is concerned with the thinking of AI agents. It is used to represent the knowledge about the real world to the AI agents so that they can understand and utilize this information for solving the complex problems in AI. Following elements of Knowledge that are represented to … Read more

What is a Chatbot?

A chatbot is Artificial intelligence software or agent that can simulate a conversation with humans or users using Natural language processing. The conversation can be achieved through an application, website, or messaging apps. These chatbots are also called as the digital assistants and can interact with humans in the form of text or through voice. … Read more

Give a brief introduction of partial, alternate, artificial, and compound keys?

Partial Keys: A set of attributes that uniquely identifies weak entities, which are related to the same owner entity. Alternate Keys: All candidate keys except the primary key are known as alternate keys. Compound Key: It has multiple fields that enable the user to uniquely recognize a specific record. Artificial Key: It is the extra … Read more

What is an Artificial neural network? Name some commonly used Artificial Neural networks.

Artificial neural networks are the statistical model inspired by the functioning of human brain cells called neurons. These neural networks include various AI technologies such as deep learning and machine learning. An Artificial neural network or ANN consists of multiple layers, including the Input layer, Output Layer, and hidden layers. ANN, with the help of … Read more

What are the eigenvalues and eigenvectors?

Eigenvectors and eigenvalues are the two main concepts of Linear algebra. Eigenvectors are unit vectors that have a magnitude equal to 1.0. Eigenvalues are the coefficients that are applied to the eigenvectors, or these are the magnitude by which the eigenvector is scaled. In the context of linear algebra and machine learning, eigenvalues and eigenvectors … Read more