What is Real-Time Processing? Real-time processing refers to the immediate or near-immediate handling of data as it is received. Unlike…
What is Churn prediction? Churn prediction is the process of identifying customers who are likely to stop using a company's…
What is Federated Learning? Federated Learning (FL) is a cutting-edge machine learning approach emphasising privacy and decentralisation. Unlike traditional machine…
In the age of digital transformation, Natural Language Processing (NLP) has emerged as a cornerstone of intelligent applications. From chatbots…
What is Elastic Net Regression? Elastic Net regression is a statistical and machine learning technique that combines the strengths of…
What is Recursive Feature Elimination? In machine learning, data often holds the key to unlocking powerful insights. However, not all…
What is High-Dimensional Data? High-dimensional data refers to datasets that contain a large number of features or variables relative to…
What is Out-of-Distribution Detection? Out-of-Distribution (OOD) detection refers to identifying data that differs significantly from the distribution on which a…
What is Anomaly Detection in LLMs? Anomaly detection in the context of Large Language Models (LLMs) involves identifying outputs, patterns,…
What is Text Annotation? Text annotation is the process of labelling or tagging text data with specific information, making it…