The Institute for Foundations of Data Science is a collaboration between UC Santa Cruz, University of Washington, University of Wisconsin-Madison, and University of Chicago.

Overview Understanding key machine learning algorithms is crucial for solving real-world data problems effectively.Data scientists should master both supervised ...

Nov. 11, 2021 — TigerGraph, provider of the leading graph analytics platform, has announced its enhanced Graph Data Science Library (previously named the GSQL Graph Algorithm Library.) This latest ...

Building fast and highly performant data science applications requires an intimate knowledge of how data can be organized in a computer and how to efficiently perform operations such as sorting, ...

Sports coaches have always made decisions based on experience, observation and intuition. But they are increasingly relying ...

Computer science is an ever-evolving field that impacts almost every aspect of our daily lives, yet understanding how its ...

“Doing the math” is what most people think of as data science. Algorithms, machine learning, cognitive tools, deep learning and the word stochastic are often not far away. That’s the easy bit.

For years, analytics and data science had always been siloed and existed apart from one another. Analysts mined insights from their organization’s data, while data scientists leveraged data to ...

Overview Data science turns raw information into actionable insights that drive better decisions, efficiency, and innovation ...