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• Algorithmic Adjustments: Algorithmic adjustments refer to the modifications made to an algorithm to improve its performance or accuracy. These adjustments can be made to various types of algorithms, including machine learning algorithms, optimization algorithms, an ... Read More >>
• Vector Space: In data science, a vector space is a mathematical structure that consists of a set of vectors, which can be added together and multiplied by scalars (usually real numbers). Vector spaces are used to represent data in a way that allows for m ... Read More >>
• Pooling: Pooling is a technique used in deep learning to reduce the spatial dimensions of feature maps. It involves dividing the input image into non-overlapping regions and then computing the maximum, minimum, or average value of each region. This ... Read More >>