Most machine learning problems belong to one of the following three main categories:
- In supervised learning, we have what is referred to as the label for a data point. Now, this can be the class of an object that is captured in the image, a bounding box around a face, the digit present in the image, or anything else. Think of it as a teacher who teaches but also tells you what the correct answer is to a problem. Now, the student can try to devise a model or an equation that takes into account all the problems and their correct answers and finds out the answer to a problem that does (or does not) have a correct answer. The data that goes into learning the model is called the training data and the data on which the process/model is tested is called test data. These predictions come in two flavors, such as identifying new photos with the...
