Pattern Recognition

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• Searching Techniques: Searching techniques refer to the methods and algorithms used to find specific information or patterns within a dataset. In data science and artificial intelligence, searching techniques are often used to extract relevant data from large an ... Read More >>
• Level: In data science, level refers to a specific value or category within a variable. It is used to differentiate between different groups or subsets of data. Levels can be nominal, ordinal, interval, or ratio. Nominal levels are used for variab ... Read More >>
• Cross-validation Techniques: Cross-validation is a statistical method used to evaluate the performance of machine learning models. It involves partitioning the dataset into subsets, training the model on one subset (called the training set), and testing the model on an ... Read More >>