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• Subproblems: In Data Science, subproblems refer to breaking down a complex problem into smaller, more manageable parts that can be solved independently. This approach is often used in machine learning, where a large dataset is divided into smaller subse ... Read More >>
• Color Channels: In the context of data science and artificial intelligence, color channels refer to the different color components that make up an image. An image is typically made up of three color channels: red, green, and blue (RGB). Each channel contai ... Read More >>
• Ordinal: Ordinal refers to a type of categorical variable where the categories have a natural order or ranking. In data science, ordinal variables are commonly used in statistical modeling and machine learning algorithms. Ordinal variables can be ei ... Read More >>