Are you evaluating your annotation team for quality? Read why self-agreement checks are critical for a proper evaluation.
Learn what optical character recognition (OCR) is, what it’s used for and how OCR systems are trained.
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.
Looking for an introduction to audio classification? In this article we discuss different types of audio classification and their use in machine learning projects.
What is edge computing in simple terms? Learn how edge artificial intelligence and edge computing are improving modern technology.
Take an in-depth look at one particular use case of natural language processing that is founnd in many people’s daily lives: voice assistants.
Discover seven key factors that can help you choose the best algorithm for a machine learning project.
Working with crowdsourced data vendors unlocks access to an inexpensive, scalable workforce. In this post, we describe key benefits of crowdsourcing data.
AI in education is a field of evolving research, development and implementation. Discover the various forms, where they are used, and the machine learning models behind them.
AI in retail offers a multitude of benefits, but how does it work? We look at examples of retail automation and the technology that powers it.
Discover three critical ways human-annotated data improves map and navigation software.
The article introduces 10 open datasets for linear regression tasks and includes medical data, real estate data and stock exchange data.
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