Q. What Are the Different Types of Machine Learning? Supervised learning A model makes predictions or decisions based on past or labeled data. Labeled data refers to sets of data that are given tags or labels, and thus made more meaningful. Unsupervised learning In this case, we don’t have labeled data, a model can identify patterns, anomalies, and relationships in the input data. Reinforcement learning The model learn based on the rewards received from the previous action.

You are given two non-empty linked lists representing two non-negative integers. The digits are stored in reverse order, and each of their nodes contains a single digit. Add the two numbers and return the sum as a linked list. You may assume the two numbers do not contain any leading zero, except the number 0 itself. Example 1: 1 2 3 Input: l1 = [2,4,3], l2 = [5,6,4] Output: [7,0,8] Explanation: 342 + 465 = 807.

MacOS install uPic 1 brew install uPic Set uPic Set uPic host to Github The default host is SMMS Set Typora uploading to uPic