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• Stochastic Gradient Ascent: Stochastic Gradient Ascent is an optimization algorithm used in machine learning to find the maximum likelihood or posterior probability of a model by iteratively updating the parameters of the model in the direction of the gradient of the ... Read More >>
• Brute Force: Brute Force is a method of solving problems by trying every possible solution until the correct one is found. In Data Science, Brute Force is often used in the context of optimization problems, where the goal is to find the best solution am ... Read More >>
• Data Acquisition: Data acquisition is the process of collecting and gathering data from various sources, including sensors, instruments, and other devices. In the context of data science, data acquisition involves the collection of data that is relevant to a ... Read More >>