Matthew Mayo explains several algorithms:
Classification algorithms are at the heart of data science, helping us categorize and organize data into pre-defined classes. These algorithms are used in a wide array of applications, from spam detection and medical diagnosis to image recognition and customer profiling. It is for this reason that those new to data science must know about and understand these algorithms: they lay foundations for more advanced techniques and provide insight into how those data-driven decisions are made.
Let’s take a look at 5 essential classification algorithms, explained intuitively. We will include resources for each to learn more if interested.
Click through for five algorithms and a couple of paragraphs describing how the algorithm works. For a little bit of self-promotion on my end, I have a series on YouTube running right now on the topic of classification where I cover a variety of algorithms. As a spoiler, 4 of the 5 on Matthew’s list will have their own videos, and there are several other algorithms to boot.