Memory Addressing
Memory addressing is the process of referencing specific locations in a computer's memory to read or write data. In data science and artificial intelligence, memory addressing is a crucial concept as it allows for efficient storage and retrieval of large amounts of data. Memory addressing is typically done using pointers, which are variables that store the memory address of another variable. In machine learning, memory addressing is used in the creation of neural networks, where the weights and biases of the network are stored in memory and accessed during training and inference. Additionally, memory addressing is important in the processing of large datasets, where data is stored in memory and accessed in chunks to avoid overwhelming the system's resources.
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