Angie received her M.S. in computer science with a concentration in machine learning from The George Washington University ...
Science in Machine Learning and Data Science master students Wuyou Shu, Zeyu Zhang and Xiaoxiao Huang won first place Monday ...
Artificial Intelligence (AI) has recently gained widespread popularity, with several news articles being released daily about its various uses within industry including facial recognition, personal ...
Overview: Model development requires structured deployment and monitoring to remain reliable over time.Consistent data and environment control prevent accuracy ...
In higher education, the capstone course is an opportunity for students to present on the culmination of their learning, tying together their degree experience. In many cases, students are also ...
One of the big challenges of developing a machine learning project can be simply getting enough relevant data to train the algorithms. That’s where Superb AI, a member of the Y Combinator Winter 2019 ...
GeekWire chronicles the Pacific Northwest startup scene. Sign up for our weekly startup newsletter, and check out the GeekWire funding tracker and VC directory. by Julie Emory on Jun 14, 2022 at 8:28 ...
The flexibility, agility and ultimate cost of machine learning projects can be significantly impacted by data logistics and dependencies, according to Jim Scott, VP, Enterprise Architecture, at MapR.
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