A part of machine learning; Generative AI models like ChatGPT and LLM-based chatbots fall within this category.
Supervised learning is an ML approach used when labeled data is available to validate the model’s results. The core objective of models trained via supervised learning is to make predictions, specifically to split data into groups based on existing classes or labels.
Supervised tasks include Classification (where the output variable is discrete, producing categories or labels) and Regression (where the output variable is continuous, producing numbers). Named Entity Recognition (NER) and entity extraction are specifically categorized as supervised ML tasks.
Sources & References
Explore other Core Concepts (AI/ML) terms
A
AI Overview
AI-generated summaries of highly informational, low-intent queries, offering quick answers to users, or generally, a…
A
Artificial Intelligence (AI)
The overarching concept related to the design and study of intelligent systems. Early systems relied…
A
Augmented Search Queries
Queries that expand or modify the original user query to improve search accuracy and relevance…
B
Bag of Words
A type of semantic representation of data, which can be extracted from page contents.
B
Bigram
A sequence of two adjacent words.
D
Dimensionality Reduction
A process that reduces data, such as high-dimensional vectors, for visualization while preserving semantic structure…
E
Embedding
A numerical representation capturing the meaning of a document or data. Also referred to as…
E
Entity
A representation of real-world objects (people, products, places, concepts) that hold value from an SEO…
E
Entity Attribute (EAV Model)
Defining properties or characteristics of an entity (e.g., location, niche) used in the EAV model…
E
Entity Attribute Variable (EAV Model)
The concept encompassing entities, their attributes, and the specific values (variables) associated with those attributes.
E
Entity Variables (EAV)
Specific values an entity attribute can take (e.g., London, Paris for the Location attribute).
F
Feature Extraction
The process of converting entities into numerical representations based on term importance (e.g., using TF-IDF).