Machine Learning, Artificial Intelligence, Data Science.
matrix is its transpose. This is one key reason why orthogonal matrices are so handy. Proof: If we multiply x with an orthogonal matrix, the errors present in x will not be magnified. This behavior is very desirable for maintaining numerical stability. The relation AAᵀ=I simplifies many