Machine learning is a technique for recognizing patterns that can be applied to medical
images. Although it is a powerful tool that can help in rendering medical diagnoses, it can be …

To understand the intricacies of microorganisms at the molecular level requires making
sense of copious volumes of data such that it may now be humanly impossible to detect …

While semi-supervised learning (SSL) has received tremendous attentions in many machine
learning tasks due to its successful use of unlabeled data, existing SSL algorithms use either …

As major progress is made in open-ended text generation, measuring how close machine-
generated text is to human language remains a critical open problem. We introduce Mauve …

This article systematically analyzes the problem of defining “artificial intelligence.” It starts by
pointing out that a definition influences the path of the research, then establishes four criteria …

Customer support is important to corporate operations, which involves dealing with
disgruntled customer and content customers that can have different requirements. As such, it …

We live in a world in which Google's search algorithms determine how we access
information, Facebook's News Feed algorithms shape how we socialize, and Netflix …

Practical Machine Learning for Data Analysis Using Python is a problem solver's guide for
creating real-world intelligent systems. It provides a comprehensive approach with concepts …

Machine learning (ML) is now a fairly established technology, and user experience (UX)
designers appear regularly to integrate ML services in new apps, devices, and systems …

The ability to make rapid and accurate predictions on bandgaps of double perovskites is of
much practical interest for a range of applications. While quantum mechanical computations …