K-means
K-means clustering is an unsupervised learning method for categorizing unlabeled data by grouping them based on their features instead of pre-defined categories. Here K is
Category: Lexicon
Keras
Keras – a Google product is a high-level API for deep learning and neural networks. It is a Python program and is utilized to make
Kernel Support Vector Machines (KSVMs)
Kernel Support Vector Machines (KSVMs) are a classification algorithm that maps input data vectors to a higher-dimensional space to make the difference between negative and
Keypoints
The positions or coordinates of specific features in an image are called keypoints. For example, the center of each stem, petal, stamen, and so on
L0 regularization
A regularization that penalizes a model’s total nonzero weights. A model with L1 nonzero weights is penalized more than one with L0. L0 regularization is
L1 Loss
A loss function that determines the exact difference between label values and model predictions. L1 loss is less outlier-sensitive than L2. Applications of L1 Loss
L1 regularization
A regularization that penalizes weights by their sum of absolute values. L1 regularization reduces irrelevant feature weights to 0. Zero-weighted features are eliminated from the
L2-regularization
This regularization penalizes weights proportionally to their squares. L2 regularization brings high-positive and low-negative outlier weights closer to 0 but not quite to 0. Features
Label
A label refers to the “answer” part of the examples used in supervised machine learning. It also denotes the portion of the training data that
Large Language Model (LLM)
A Large Language Model, or LLM, is a special kind of artificial neural network created to grasp and create natural language. With the help of
Machine Learning
As a branch of artificial intelligence, machine learning is basically an algorithm that keeps fine-tuning itself and grows more competent at performing its job without
Majority Class
Majority Class is a term that refers to a class or segment with the maximum number of instances or observations in a dataset. For instance,
