An n-gram is a contiguous sequence of n items from a given text or speech. N-grams are used to study linguistic patterns and to generate text samples.
Definition of Endpoint Endpoint: Endpoint refers to the point of contact between two systems, or in the context of data science, the point where data is received and sent. In a pipeline, the endpoint is typically the last stage before the data is output. What needs to be considered when dealing with different Endpoints? When…
Classification: The task of classification is to take a set of observations and assign one of a pre-determined number of classes to each observation. Classification is a technique used in data science to …
Definition of Feature Engineering Feature Engineering: Feature engineering is the process of transforming raw data into a form that is more amenable to analysis or machine learning. This can involve things like aggregating data, transforming variables, or creating new features from existing variables. Feature engineering is an important part of data science, as it can…
Definition of Entropy Entropy: Entropy is a measure of the unpredictability of a system. In information theory, entropy ( ) is a measure of the uncertainty associated with a random variable. Entropy is defined as the average amount of information that is not known about the value of a random variable. When is Entropy used?…
Active Learning is a type of machine learning where the algorithm actively chooses which data points to use in order to learn from.