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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 >>
• Switching: Switching refers to the process of changing from one task to another in a computer system. In data science, switching can occur between different algorithms or models during the training process. This can be done manually or automatically, ... Read More >>
• Underfitting: Underfitting is a common problem in machine learning where a model is too simple to capture the underlying patterns in the data. This occurs when the model is not complex enough to fit the training data, resulting in poor performance on bot ... Read More >>