Memory Allocation
Memory allocation is the process of reserving a portion of a computer's memory for a specific purpose. In data science and artificial intelligence, memory allocation is a critical aspect of optimizing the performance of algorithms and models. The process involves allocating memory for variables, data structures, and other objects used in a program. Memory allocation can be done statically or dynamically. Static memory allocation is done at compile-time and involves reserving memory for variables that are known at the time of compilation. Dynamic memory allocation, on the other hand, is done at runtime and involves reserving memory for variables that are not known until the program is executed. In data science and artificial intelligence, dynamic memory allocation is often used to allocate memory for large datasets and models that cannot be loaded into memory all at once.
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