Are you looking for open datasets for machine learning? View our ultimate cheat sheet for high-quality datasets.
Are you getting lots of site visitors, but not a lot of sales? Search relevance and improving the strength of your search engine may be the answer.
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.
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.
Although many people use the terms text mining and text analytics interchangeably, there are key differences. Learn what text mining is, the processessing techniques used and its practical applications.
Take a look at why a global approach to NLP is so important for the future of machine learning in non-English languages.
Financial services firms are increasingly implementing AI to improve their CX. Learn how they’re using the technology to tackle the latest industry challenges.
The article introduces 10 open datasets for linear regression tasks and includes medical data, real estate data and stock exchange data.
Are you evaluating your annotation team for quality? Read why self-agreement checks are critical for a proper evaluation.
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.
Text analysis tools offer a multitude of benefits, but how do they work? We look at types of AI text analysis, their use cases and how to get started.
Discover the most common types of image annotation for computer vision AI to help you pick the right tools and resources for your projects.
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