Transfer learning is a process through which a machine learning model trained for a different task, is fine-tuned to a new task. Through this process, the knowledge that the earlier model had learned is transferred to the new task, which can take advantage of the learned patterns. In human learning,…
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Graphs are the most natural data structure for representing the world as they capture how everything is connected via relationships. This category will cover graph theory, graph analytics and graph machine learning