adpoe

def multivariate_gradient_descent(training_examples, alpha=0.01):
    """
    Apply gradient descent on the training examples to learn a line that fits through the examples
    :param examples: set of all examples in (x,y) format
    :param alpha = learning rate
    :return:
    """
    # initialize the weight and x_vectors
    W = [0 for index in range(0, len(training_examples[0][0]))]

adpoe

adpoe

adpoe

-- Do Tree Traversals and Built a Visitation List for each

preorder :: BinaryTree a -> [a]
preorder Leaf = []
preorder (Node left root right) = root : preorder left ++ preorder right
-- NOTE: Need to use the ++ so each list gets built separately and then concatenated
-- after it hits bottom

inorder :: BinaryTree a -> [a]
inorder Leaf = []