Algorithmic Learning

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• Supervised Training: Supervised training is a machine learning technique where an algorithm learns from labeled data to make predictions or decisions on new, unseen data. In supervised training, the algorithm is trained on a dataset where the input data is labe ... Read More >>
• 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 >>
• Integration: Integration in data science refers to the process of combining data from different sources into a single, unified view. This involves identifying and resolving any inconsistencies or discrepancies in the data, as well as ensuring that the d ... Read More >>