Computer Vision - AI that enables machines to interpret and analyze visual data from images and videos.
Convolutional Neural Network (CNN) – A type of neural network optimized for processing images.
Data Privacy – Protecting personal and sensitive data used in AI systems.
Deep Learning (DL) - A type of ML using neural networks with multiple layers for complex pattern recognition.
Dimensionality Reduction – Techniques like PCA that reduce the number of input variables in a model.
Edge AI – AI that runs on local devices rather than relying on cloud computing.
Embeddings – A representation of data (e.g., words or images) in a lower-dimensional space to capture relationships.
Explainable AI (XAI) – AI systems designed to provide transparency in their decision-making processes.
Fairness in AI – Ensuring AI systems do not discriminate against individuals or groups.
Feature Engineering – The process of selecting and transforming variables to improve model performance.