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There are subtle differences between AI and its related fields: machine learning and deep learning. Let’s take a closer look at these terms.
Discover the difference between CNN and RNN and how they are used in computer vision and natural language processing.
It’s only logical to ask how much training data you need, but it can be a complicated question to answer. Let’s take a look at why.
Sentiment analysis involves classifying the subjective, contextual information within text data. Read our beginner’s guide to learn more.
Learn what optical character recognition (OCR) is, what it’s used for and how OCR systems are trained.
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.
The article introduces 10 open datasets for linear regression tasks and includes medical data, real estate data and stock exchange data.
Looking to improve your search relevance? Here are five types of search evaluation services that can help you strengthen your search engine.
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.
Looking for an introduction to audio classification? In this article we discuss different types of audio classification and their use in machine learning projects.
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.
Medical AI is changing healthcare, but how? In this article, we examine the benefits of healthcare chatbots for physicians, patients and administration.
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