In this page, you can find notes, errata corrige and additional pieces of information for the book “Mastering Machine Learning Algorithms“.
Gitter chatroom: https://gitter.im/Machine-Learning-Algorithms/Lobby
The formula at the end of the page is based on argmin, as this is a minimization:
The code snippet containing the loop for the label propagation is:
while np.linalg.norm(Yt - Y_prev, ord=1) > tolerance: P = np.dot(D_rbf_inv, W_rbf) Y_prev = Yt.copy() Yt = np.dot(P, Yt) Yt[0:nb_samples - nb_unlabeled] = Y[0:nb_samples - nb_unlabeled]
Today I’ve published my latest book ” Mastering Machine Learning Algorithms ” (in a few days it will be available on all channels). From the back cover: Machine learning is a subset of AI that aims to make modern-day computer systems smarter and more intelligent.