Understanding Machine Learning
Let's learn about the components and applications of machine learning in this lesson.
In the first lesson, you learned the main idea of machine learning: there are generic algorithms that can tell you something interesting about a set of data without having to write any custom code specific to the problem. Instead of writing explicit code, you feed data to a generic algorithm, which then builds its own logic based on the data. This magic of learning from data is possible because the algorithm learns based on properties or features, of the object it is being asked to learn about.
For example, while learning to distinguish between apples and oranges in a very rudimentary way, color could be used as a feature. In this way, all the red-colored fruits would be ...
