Unstructured data is messy, scattered, and multimodal — making it hard to manage and essential to control for successful ...

Algorithms are not innocent codes based on machine learning and artificial intelligence, but ideological devices that shape ...

If there’s one thing that characterizes the Information Age that we find ourselves in today, it is streams of data. However, ...

By training the algorithm directly on long-read sequencing data from cancer samples, we created a new method that can tell the difference between true cancer-related genomic alterations and ...

A network is a mathematical model used to represent relationships through connections, and this framework can be used to represent many real-world systems, such as the brain. There are multiple ways ...

Combining Quantitative Skills and Qualitative Research Combining quantitative and qualitative data analysis can give students of science, technology, engineering and mathematics, also known as STEM, a ...

Finally, if your data mining projects involve temporal data, time series analysis algorithms are indispensable. They allow you to analyze sequences of data points collected over time to identify ...

In this manner, algorithms can profile individuals based on otherwise unconnected data points, thus revealing private information in their outcomes. For example, a data broker could infer private ...

When your algorithmic project hits a wall, it's common to consider incorporating data analytics and machine learning (ML) to push the boundaries. If you're facing a complexity that traditional ...

Algorithms and Justice [PDF] AGTech Forum Cyberlaw Clinic Government institutions around the globe are beginning to explore decision automation in a variety of contexts, from determining eligibility ...