Which ML Algorithm to Choose?
Last Updated on July 25, 2023 by Editorial Team
Author(s): Dr. Roi Yehoshua
Originally published on Towards AI.
This member-only story is on us. Upgrade to access all of Medium.
One of the key decisions you need to make when solving a data science problem is which machine learning algorithm to use.
There are hundreds of machine learning algorithms to choose from, each with its own advantages and disadvantages. Some algorithms may work better than others on specific types of problems or on specific data sets.
The βNo Free Lunchβ (NFL) theorem states that there is no one algorithm that works best for every problem, or in other words, all algorithms have the same performance when their performance is averaged over… Read the full blog for free on Medium.
Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming aΒ sponsor.
Published via Towards AI