Accountability

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• Embedded Methods: Embedded methods are a feature selection technique in data science that involves selecting a subset of relevant features from a larger set of features. This technique involves training a machine learning model on the entire set of features ... Read More >>
• Gradient-based Optimization: Gradient-based optimization is a technique used in machine learning and data science to find the optimal values of parameters in a model by iteratively adjusting them in the direction of steepest descent of a cost function. The cost functio ... Read More >>
• Fundamental Units: In Data Science, fundamental units refer to the basic building blocks of data that are used to represent information. These units can be numerical, categorical, or textual and are used to create variables that can be analyzed and manipulate ... Read More >>