Our goal is to make DS more accessible to a wider audience by providing a simple, intuitive, and consistent API to solve common tasks on small to moderately sized datasets. As such, a major focus is ...

Machine learning has the potential to provide tremendous value to life sciences by providing models that aid in the discovery of new molecules and reduce the time for new products to come to market.

Humans make tens of thousands of decisions every day. Project Azua aims to develop machine learning solutions for efficient decision making that demonstrate human expert-level performance across all ...

Genomic prediction tools support crop breeding based on statistical methods, such as the genomic best linear unbiased prediction (GBLUP). However, these tools are not designed to capture non-linear ...

Identifying drug–target interaction (DTI) is the basis for drug development. However, the method of using biochemical experiments to discover drug-target interactions has low coverage and high costs.