How are arrays used in machine learning?

Can you explain how arrays are used in machine learning?

Arrays are fundamental in machine learning as they store data in a structured format, enabling efficient computations.

What types of arrays are commonly used?

Common types include one-dimensional arrays for vectors, two-dimensional arrays for matrices, and multi-dimensional arrays for tensors.

How do arrays improve the performance of algorithms?

Arrays allow for vectorized operations, which can significantly speed up calculations and reduce memory usage.

Can you give an example of an algorithm that uses arrays?

Sure! The k-nearest neighbors algorithm uses arrays to store feature vectors and calculate distances between them.