Concept graph
Glossary
Short definitions with deeper context and cross-links to sibling terms.
neural networks
autoencoder
An autoencoder is a type of neural network used for unsupervised learning of efficient representations.
Data Preparation
data-labelling
The process of assigning meaningful labels to data points to facilitate supervised learning.
Unsupervised Learning
k-means-clustering
An unsupervised learning algorithm used for partitioning data into clusters.
Neural Networks
Self-Organizing Map
A type of neural network used for unsupervised learning that maps high-dimensional data to lower dimensions.
Machine Learning
Self-supervised Learning
A type of machine learning where the model learns from unlabeled data by generating its own labels.
Machine Learning
Supervised Learning
A type of machine learning where the model learns from labeled data.
Machine Learning
Support Vector Machine (SVM)
A supervised learning model used for classification and regression tasks.
Machine Learning
support-vector-machine
A supervised learning algorithm used for classification and regression tasks.
Machine Learning
Unsupervised Learning
A type of machine learning that deals with data that has no labels, aiming to find hidden patterns or intrinsic structures.