Data science is the application of scientific techniques and mathematics to making business decisions. More specifically, it has become known for the data mining, machine learning (ML) and ...

In sum, data science can have a rich variety of useful financial applications. These applications can range from a complete product with high accuracy, an intermediate decision-making tool or ...

Predictive analytics, data science, artificial intelligence, bots. The waves of advances in the application of data keep on coming. You can’t read the pages of the mainstream or business media ...

This article is a summary of Altus Group’s global research report, The state of data science in commercial real estate investing. This report provides a comprehensive look into how CRE firms are ...

This course introduces students to computer science fundamentals for building basic data science applications. The course has two components. The first part introduces students to algorithm design and ...

We interpreted "application framework for machine learning and data science" to mean some new framework for working with data, such as PyTorch, DeepLearning4j, and Neuton, to name just a few among ...

DECEMBER 13, 2021 — Applications are now open for the inaugural UTSA Draper Data Science Business Plan Competition. The contest, open to university students from around the world, is unique among ...

Statistical modeling lies at the heart of data science. Well-crafted statistical models allow data scientists to draw conclusions about the world from the limited information present in their data. In ...