Machine Learning, Python, Towards Data Science, Dimensionality Reduction, Data Visualization.
of them here, Eigen decomposition and Singular Value Decomposition (SVD) and then we will implement the SVD way in TensorFlow. From now on, X will be our data matrix, of shape (n, p) where n is the number of examples, and p are the dimensions. So given X, both methods will try to find, in their own