Glossary
Glossary
There are currently 23 names in this directory beginning with the letter N.
N
Naive Bayes: A simple machine learning algorithm that is based on the principle of Bayes' theorem and is used for classification tasks
Named entity recognition (NER): A natural language processing (NLP) task that involves identifying and classifying named entities, such as people, organizations, and locations, in text
Named pipe: A type of interprocess communication (IPC) mechanism that allows data to be transferred between two or more processes using a special file or channel
Nano service: A small, independent service that performs a specific function or task and communicates with other services through APIs
NAT (Network Address Translation): A method of allowing multiple devices on a private network to access the internet using a single public IP address
NAT (Network Address Translation): A method that is used to allow multiple devices on a private network to share a single public IP address
Native app: A mobile app that is developed specifically for a particular platform or operating system
Natural language processing (NLP): A field of artificial intelligence that focuses on the interaction between computers and humans using natural language
Navigational structure: The way in which the pages or sections of a website or application are organized and linked together
Nearest neighbor: A method of classification or prediction that is based on finding the nearest data points in a dataset and using them to make a prediction
Neural network: A type of machine learning algorithm that is inspired by the structure and function of the human brain and is used for tasks such as classification and prediction
NLP (Natural Language Processing): A field of artificial intelligence that focuses on enabling computers to understand and process human language
Normalization: The process of organizing a database or data model in a way that minimizes redundancy and dependency
NoSQL: A database management system that is designed to handle large amounts of unstructured or semi-structured data and is used for tasks such as big data analysis and real-time processing
