Multilayer perceptron (MLP)
Multilayer perceptron (MLP) plays a crucial role in the landscape of artificial intelligence and machine learning. While they may appear to be simply layers of interconnected nodes, their capability t...
Permutation Importance
Permutation importance is a powerful tool in the realm of machine learning, offering insights into how different features contribute to the predictive power of models. By understanding which features ...
KNN (K-Nearest Neighbors)
KNN (K-Nearest Neighbors) is a versatile algorithm widely employed in machine learning, particularly for challenges involving classification and regression. As a non-parametric method, KNN offers a st...
Corrective RAG (CRAG)
Corrective RAG (CRAG) represents a transformative approach to enhance the effectiveness of traditional retrieval-augmented generation techniques. By addressing common pitfalls associated with conventi...
Decision boundary
In machine learning, decision boundaries play a crucial role in determining how effectively models classify data. They act as a dividing line between different classes in a feature space, influencing ...
Embedding projector
The embedding projector is a powerful visualization tool that helps data scientists and researchers understand complex, high-dimensional data often encountered in machine learning (ML) and natural lan...
Hyperplane
Hyperplanes are pivotal fixtures in the landscape of machine learning, acting as crucial decision boundaries that help classify data into distinct categories. Their role extends beyond mere classifica...
