Mass spectrometry is critical in drug discovery — but legacy systems, data silos, and poor metadata are slowing progress. This white paper, in partnership with Thermo Fisher, shares how experts from ...

EMBL-EBI scientists and collaborators at Heidelberg University have developed CORNETO, a new computational tool that uses ...

What began as a Ph.D. project has grown into a website with 120,000 unique visitors each year. With the platform OpenML, ...

William Chiu (MSiA '13) works at the intersection of cutting-edge technology and human understanding in finance, where algorithms often make decisions that impact millions of lives and even more ...

Researchers have developed a new machine learning algorithm that excels at interpreting optical spectra, potentially enabling faster and more precise medical diagnoses and sample analysis.

Effective this spring, Moses Chan and Huiling Hu are the new leaders of the minor in machine learning and data science, a joint program offered by the Department of Industrial Engineering and ...

List of references and online resources related to data science, machine learning and deep learning. - erwinzhu/Amazing-Resources-Cheat-sheet- ...

Today’s best data science courses offer hands-on experience with Python, SQL, libraries, basic machine learning models and more.

The Preamble In today's data-driven landscape, establishing a world-class data science practice is essential for companies striving to remain competitive and innovative.

If you are an aspiring data scientist, you may have come across the terms artificial intelligence (AI), machine learning, deep learning and neural networks.