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…
Introduction Text data is everywhere—from social media posts and customer reviews to emails and product descriptions. For data scientists and…
What is Missing Data in Machine Learning? In machine learning, the quality and completeness of data are often just as…
What is Predictive Analytics? Predictive analytics uses historical data, statistical algorithms, and machine learning techniques to identify patterns and forecast…
What is Linear Regression in Machine Learning? Linear regression is one of the fundamental techniques in machine learning and statistics…
What are Out-of-Vocabulary (OOV) Words? In Natural Language Processing (NLP), Out-of-Vocabulary (OOV) words refer to any words a machine learning…
What is Multi-Task Learning? Multi-TaskMulti-task learning (MTL) is a machine learning approach in which a single model is trained to…