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In the context of Artificial Intelligence (AI), a modality refers to a specific type or form of data that can be processed and understood by AI models. Images : This involves visual data, including photographs, drawings, and any kind of visual representation in digital form. How it Works?
In the context of Artificial Intelligence (AI), a modality refers to a specific type or form of data that can be processed and understood by AI models. Primary modalities commonly involved in AI include: Text : This includes any form of written language, such as articles, books, social media posts, and other textual data.
Machine Learning Methods Machine learning methods ( Figure 7 ) can be divided into supervised, unsupervised, and semi-supervisedlearning techniques. Figure 7: Machine learning methods for identifying outliers or anomalies (source : Turing ). We will start by setting up libraries and datapreparation.
However, if architectural or memory-based approaches are available, the regularization-based techniques are widely used in many continual learning problems more as quickly delivered baselines rather than final solutions. There is no incremental training and no continual learning.
At the core of machine learning, two primary learning techniques drive these innovations. These are known as supervisedlearning and unsupervised learning. Supervisedlearning and unsupervised learning differ in how they process data and extract insights.
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