Jared Dean's Big Data, Data Mining, and Machine Learning promises to help business ... full data set can be so much more effective than using a sample. It's a lot of work to make sure your sample ...

Molecular machine learning (ML) underpins critical workflows in drug discovery, material science, and catalyst optimization ...

Machine learning and data mining are emerging fields situated between statistics ... and data problems that require the implementation of various methods in class using a computer. James, G., Witten, ...

Data quality is more important than ever, and many dataops teams struggle to keep up. Here are five ways to automate data operations with AI and ML. Data wrangling, dataops, data prep, data ...

and integration platform that requires minimal programming knowledge to use. It integrates machine learning and data mining components through modular data pipelining. The KNIME Analytics Platform ...

The Mining Lab aims to build statistical models to tackle hard learning problems with limited labels in knowledge-rich domain (e.g., medicine and bioinformatics). Two central research themes: - ...

To quickly sort through such a huge data set, they've turned to machine learning, a way of using computers to identify patterns and make predictions based on the information. The group's results ...