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 Missing Data in Machine Learning? In machine learning, the quality and completeness of data are often just as…
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…
Introduction to Wavelet Transform What is Signal Processing? Signal processing is critical in various fields, from telecommunications to medical diagnostics…
What is a Confusion Matrix? A confusion matrix is a fundamental tool used in machine learning and statistics to evaluate…