NumPy makes Linear Algebra for ML wayyyy easier!

linear algebra is one of the foundation Concepts when it comes to getting up to speed with machine learning but do you know that numpy can help streamline a bunch of this for you let's take a look at some of the shortcuts that numpy gives you np.lin.inv gives you the inverse of a matrix in this particular case if we multiply the original matrix by the inverse you can see we're getting the identity back if we want to get the identity Matrix we can use numpy.identity and pass through the shape of our original Matrix to calculate the determinant we can use numpy.lineau.det and this will give us the determinant of our Matrix telling us whether or not it's singular or non-singular and last but not least eigenvalues and eigenvectors by using numpy.lineau.org we're able to go in ahead and get our eigenvalues and our eigenvectors at the top you can see we've got our eigenvalues and down the bottom we've got our eigenvectors work's already begun on my math for ML course you pumped for it

Channel: Nicholas Renotte

Views: 54,472

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Id: 3nN8ntjJPpw

Length: 0min 52sec (52 seconds)

Published: Tue Feb 21 2023