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• K-means Clustering: K-means clustering is a type of unsupervised learning algorithm used in data science and artificial intelligence to group similar data points together. The algorithm works by partitioning a dataset into k clusters, where k is a predefined n ... Read More >>
• Non-linearity: Non-linearity refers to the property of a system or a model where the output is not directly proportional to the input. In data science and artificial intelligence, non-linearity is a crucial concept as many real-world phenomena exhibit non ... Read More >>
• Image Segmentation: Image segmentation is the process of dividing an image into multiple segments or regions, each of which corresponds to a different object or part of the image. This technique is commonly used in computer vision and image processing to analy ... Read More >>