Author(s): Dr. Mandar Karhade, MD. PhD.
Originally published on Towards AI.
With so many algorithms available, it can be difficult to know which one is the best fit for your project and data.
Machine learning algorithms have become essential for developing artificial intelligence (AI) applications, but choosing the correct algorithm can be challenging. With so many algorithms available, it can be difficult to know which one is the best fit for your project and data. This article will discuss five simple steps to help you choose the best machine learning algorithm that fits your AI project needs.
Photo by Bundo Kim on Unsplash
The first step in choosing a machine learning algorithm is to identify the type of problem you want to solve. There are three main types of problems in machine learning:
Supervised learning: “You… Read the full blog for free on Medium.
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Published via Towards AI