Machine Learning For Beginners: A Comprehensive Beginners Guide To Machine Learning, No Experience Required! by Carrier Luke

Author:Carrier, Luke [Carrier, Luke]
Language: eng
Format: epub
Published: 2018-09-07T16:00:00+00:00

Chapter 5: Supervised Machine Learning

Now that we know a little bit more about machine learning and some of the basic building blocks that come with it, it is time to take a closer look at the different types of machine learning and how they work. To start with, there are three basic types of machine learning that you can use. These will include reinforcement learning, unsupervised learning, and supervised learning. All of these work in slightly different ways, but they will help the computer learn how to react to the input it gets from the user. The one that you will pick out depends on what project type you want to work with.

Let’s start with the first machine learning technique that is called supervised machine learning. Supervised learning will occur when you pick out an algorithm that can learn the right response to the data a user inputs to it. There are several ways that supervised machine learning can do this. It can look at examples and other targeted responses that you provide to the computer. You could include values or strings of labels to help the program learn the right way to behave.

This is a simple process to work with, but an example to look at is when a teacher is teaching their students a new topic, and they will show the class examples of the situation. The students would then learn how to memorize these examples because the examples will provide general rules about the topic. Then, when they see these examples, or things that are similar, they know how to respond. However, if an example is shown that isn’t similar to what the class was shown, then they know how to respond as well.

When it comes to the learning algorithms that you can use with supervised machine learning, there are a few types that you can pick from. The most common types include:

Decision trees

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