Vectorized Operations
Vectorized operations refer to performing operations on entire arrays or matrices at once, rather than iterating through each element. This is achieved by using optimized functions and algorithms that take advantage of hardware acceleration and parallel processing. Vectorized operations are a fundamental concept in data science and artificial intelligence, as they allow for efficient manipulation and transformation of large datasets. They are commonly used in mathematical operations such as addition, subtraction, multiplication, and division, as well as in more complex operations such as matrix multiplication, dot products, and convolutions.
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