Machine Learning, Data Science, Artificial Intelligence, Mathematics, Tutorial.
in the matrix below. Here, we can observe that there are m training examples and n number of features. Figure — 1: The input features Dimensions: X = (m, n) 2. Step — 2: The expected output matrix is shown below. Our expected output matrix will be of size m*1 because we have m training examples.