Mathematics for Machine Learning: Array, Norm, and Dot Product with NumPy
In this video, we discuss computing with arrays of data using NumPy, a crucial library in the Python data science world. We discuss linear algebra basics, such as computing the norm of an array, inner product, or dot product between two 1D arrays, and matrix multiplication for 2D arrays. Other topics include creating multidimensional arrays, finding axis and shape properties for n-dimensional arrays, and understanding how to apply some linear algebra operations to n-dimensional arrays without using for-loops.
#NumPy #LinearAlgebra #MachineLearning