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• Experimental Design: Experimental design is the process of planning and conducting experiments in order to test hypotheses and make conclusions about the relationship between variables. It involves identifying the variables that will be manipulated and measured ... Read More >>
• Adversarial Training: Adversarial training is a technique used in machine learning to improve the robustness of a model against adversarial attacks. Adversarial attacks are maliciously crafted inputs designed to cause a model to misclassify or produce incorrect ... Read More >>
• Filtering: Filtering is the process of selecting a subset of data from a larger dataset based on specific criteria. In data science, filtering is commonly used to remove noise, outliers, or irrelevant data from a dataset to improve the accuracy of ana ... Read More >>