Machine Learning Math: Understanding Classification Problems

classification problem

In our previous blog posts, we covered regression problems where we’re trying to predict the value of our target function. In regression problems, our target function is a real-valued function, and we’re trying to compute a real number that estimates its value at given data points.

In the next couple of posts, we’ll cover classification problems, which are also known as selection problems. In a classification problem, our target function is returning one item from a discrete set of choices: in other words, it’s making a “true or false” decision or picking one option out of a few. Such a function might look at an image and determine whether the image contains a person’s face, or it could look at a hand-written letter or number and identify the character.

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