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This glossary defines general AI and machine learning terms.
Are you looking for open datasets for machine learning? View our ultimate cheat sheet for high-quality datasets.
Discover the most common types of image annotation for computer vision AI to help you pick the right tools and resources for your projects.
Capturing enough accurate, quality data at scale is a common challenge. Discover four ways to source raw data for machine learning, and how to go about annotation process.
Take a look at why a global approach to NLP is so important for the future of machine learning in non-English languages.
The article introduces 10 open datasets for linear regression tasks and includes medical data, real estate data and stock exchange data.
Looking for an introduction to audio classification? In this article we discuss different types of audio classification and their use in machine learning projects.
Learn what optical character recognition (OCR) is, what it’s used for and how OCR systems are trained.
Facial recognition is a field within AI and computer science that seeks to give machines the ability to interpret human faces. This beginner’s guide explains types of face recognition processes, how they work, various applications and how accurate they are today.
Get an inside look at the most popular uses for AI in ecommerce: what it does, how it is used and practical first steps for your business.
Medical AI is changing healthcare, but how? In this article, we examine the benefits of healthcare chatbots for physicians, patients and administration.
Discover seven key factors that can help you choose the best algorithm for a machine learning project.
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