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K-Means Clustering: A machine learning algorithm used for data clustering, where data points are grouped into clusters based on their similarity, with ‘K’ representing the number of clusters. Often employed in data analysis and pattern recognition.

K-nearest Neighbors (K-NN): A machine learning algorithm used for classification and regression tasks, where an instance is classified based on the majority class among its ‘K’ nearest neighbors in a feature space.

Kernel: In machine learning, a kernel is a function used to transform data into a higher-dimensional space, often to make complex patterns more separable.

Keyword Extraction: A natural language processing (NLP) technique that identifies and extracts important words or phrases from a text, often used in search engines and text analysis.

Kinematic Modeling: The use of mathematical models to describe the motion and position of objects, commonly used in robotics and computer graphics for motion planning.

Knowledge Base: A repository of structured information and data used by AI systems to answer questions, provide recommendations, and make informed decisions.

Knowledge-Based System: An AI system that uses a knowledge base and an inference engine to reason, make decisions, and solve problems based on human-like knowledge.

Knowledge Engineering: The process of creating knowledge representations and rules that enable AI systems to make decisions and solve problems in specific domains.

Knowledge Graph: A structured database that represents information as interconnected nodes and edges, facilitating AI systems in understanding relationships between various data points.

Knowledge Graph Database: A database system designed for storing and querying knowledge graphs, which are used in various AI applications, including semantic search and recommendation systems.

Knowledge Representation: Methods and structures used to store and organize information in a format suitable for AI systems to process and reason with.

Knowledge Transfer: The process of transferring learned knowledge from one AI model to another, often to improve the performance of the target model with limited data.

KPI (Key Performance Indicator): Metrics and measurements used to evaluate the performance and effectiveness of AI systems and SAAS applications.

Kubernetes: An open-source container orchestration platform used in SAAS applications to automate the deployment, scaling, and management of containerized applications.

Kurtosis: A statistical measure that describes the distribution of data, particularly how data is distributed in the tails (compared to a normal distribution), which can be useful in data preprocessing for AI models.

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