Life is a Gradient Descent. We set up the goals and we gradually move to achieve them from our current position. Similarly, different events in our lives are influenced by gradient descent. Like you walking the smallest distance from home to school, choosing the shortest path for reaching down at…

Data of higher dimensions tend to create sparse matrixes and make it much more difficult to compute, analyze and visualize. It is therefore very important to reduce the dimensions to minimize redundant information, improve visualization and discover hidden correlated information. One of these methods of dimension reduction is PCA. The…