Notes
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AI ML

7 topics1170 terms
Statistics
185 terms
Statistics and its concepts related to the domain of Artificial Intelligence and Machine Learning.
Supervised Learning
317 terms
A machine learning approach using labeled data to train models for classification, regression, and predictive modeling tasks.
Unsupervised Learning
159 terms
A machine learning paradigm that discovers structure, patterns, and representations directly from unlabeled data — without explicit target outputs — spanning clustering, dimensionality reduction, density estimation, anomaly detection, association rule learning, and generative modeling.
Computer Vision Coming Soon
Methods for enabling machines to understand visual data — images and video. Spans foundational image concepts, classical hand-engineered feature techniques, convolutional and transformer-based architectures, the canonical task families (recognition, detection, segmentation), and the specialised sub-fields of video understanding and 3D vision, together with preprocessing and transfer-learning practices that make models work on real datasets.