Types of data in Machine Learning Explained
Last Updated on July 26, 2023 by Editorial Team
Author(s): Arun Rajendran
Originally published on Towards AI.
Machine Learning
This member-only story is on us. Upgrade to access all of Medium.
Photo by Mika Baumeister on Unsplash
Machine learning has been successful across a wide variety of fields such as recommendation engines, healthcare, stock forecasting, supply chain management, and more. This is mainly due to the advancements in processors (GPUs & TPUs) coupled with the advent of the data age. Currently, we are able to collect & store tons of data that can be used by complex ML algorithms to achieve state-of-the-art models. In order to understand and apply ML algorithms, it is vital to understand the different data types so… 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