The Importance of Data Labeling for Unsupervised Learning

supervised learning requires labels and unsupervised doesn't. Reinforcement learning learns its own labels as it goes along, sort of learning by itself. The thing about data labeling is that you need humans to do it because a machine couldn't do the labels,. otherwise it already will have learned that thing. So we can, obviously there's a lot of things we can label. And another key term that we want to go over is sensor fusion and point cloud labeling needs. We'll talk about this thing called sensor fusion where maybe we need combinations of data together that might have a label.