- Data Annotation
What is text annotation? Five different types of annotations
To train NLP algorithms, large annotated text datasets are required. Learn more with a brief introduction to five common types of text annotation.
- AI Use CasesHealthcare
AI in medicine: Three applications for healthcare chatbots
Medical AI is changing healthcare, but how? In this article, we examine the benefits of healthcare chatbots for physicians, patients and administration.
- Data Annotation
Five types of image annotation and their use cases
Wondering which image annotation types best suit your project? In this article, we introduce five types of image annotation and their applications.
- Data Validation & Relevance
Five types of search engine evaluation to improve search relevance
Looking to improve your search relevance? Here are five types of search evaluation services that can help you strengthen your search engine.
- AI Best Practices
Four benefits of using crowdsourced data for machine learning
Working with crowdsourced data vendors unlocks access to an inexpensive, scalable workforce. In this post, we describe key benefits of crowdsourcing data.
- Computer Vision
What is facial recognition? Applications and how it works
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.
- AI Best Practices
What is optical character recognition (OCR)?
Learn what optical character recognition (OCR) is, what it’s used for and how OCR systems are trained.
- Linguistic Annotation
What is text mining? Applications and preprocessing techniques
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.
- Responsible AI
The importance of controlling for bias in AI
As AI plays an increasingly larger role in customer service, it has the potential to bake in underlying human biases. Discover key strategies for controlling machine bias in your AI-enabled tools.
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