Open source is the backbone driving digital innovation (Gartner, 2019). It’s crucial to many of today’s leading-edge digital fields, including data science and machine learning. No single technology ...

The Master of Science in Data Science curriculum consists of a total of 30 credit hours. 18 credit hours can be taken from core courses and 12 credit hours can be taken from selected focus areas or ...

Specialization: Data Mining Foundations and Practice Instructor: Dr. Qin (Christine) Lv, Associate Professor of Computer Science Prior knowledge needed: Basic familiarity with Python, data structure ...

Data science is key to a successful transformation into an AI-powered enterprise. GPU-accelerated data science enables a faster method to improve the efficiency of data science initiatives. Learn ...

COMP_SCI 326: Introduction to the Data Science Pipeline VIEW ALL COURSE TIMES AND SESSIONS Prerequisites (CS 212 and CS 214) or graduate student or instructor consent Description. This course aims to ...

It is well-known that data scientists spend about 90% of their time performing data logistics-related tasks. Anything that a data scientist can do to reduce it is a good use of their time, and a ...

COMP_SCI 326: Introduction to the Data Science Pipeline. This course is not currently offered. Prerequisites (CS 212 and CS 214) or graduate student or instructor consent Description. This course aims ...