The number one reason why orthogonality is essential in data science: uncorrelating features.
However, the features we are given are rarely such. There are ways to fix this, and the Gram-Schmidt process is one of them.
Here is how it works.
Keep reading with a 7-day free trial
Subscribe to The Palindrome to keep reading this post and get 7 days of free access to the full post archives.