Researchers have developed a meta-learning framework that recommends the best clustering algorithm for generating ...

Algorithms are the foundation of modern computing. They help computers solve problems, process data, and make decisions efficiently. Understanding the different types of algorithms is an important ...

Mathematical and algorithmic foundations of big data processing. Study of methods for sampling, sketching, and distributed processing of large scale databases, graphs, and data streams for purposes of ...

A data scientist is an analytics professional who collects, analyzes and interprets data to transform it into actionable insights that can facilitate decision-making. The data scientist's makes sense ...

Data science practices making use of statistics, condensing and displaying complicated data sets into meaningful insights ...

Students interested in mathematics, technology and problem-solving can consider data analytics and data science as alternatives to a conventional Computer Science Engineering degree. Although the two ...

CS 652: Advanced Algorithms and Applications CS 660: Artificial Intelligence CS 667: Machine Learning CS 685: Foundations of Data Science or CS 680: Matrix Algorithms for Data Science Program ...