College of Engineering Offers Applied Machine Learning Intensive for Summer

AMLI Students enjoy a night at Concert in the Park after a week of learning and hands-on activities
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AMLI Students enjoy a night at Concert in the Park after a week of learning and hands-on activities

Faculty within the College of Engineering have partnered with the National Action Council for Minorities in Engineering and Google to host the Applied Machine Learning Intensive Summer Bootcamp. The camp offers students an introduction to applied machine learning concepts.

The team is composed of Bryan Hill, associate dean for student success and principal investigator; Chase Rainwater and Shengfan Zhang, associate professors in industrial engineering; and Ngan Le and Khoa Luu, assistant professors of computer science and computer engineering.

Over the summer, the U of A team will host the AMLI bootcamp with two other campuses, the University of Kentucky and Morgan State University. The bootcamp aims to introduce underrepresented minority students to advanced concepts in artificial intelligence/machine learning using Google Education's open-sourced curriculum.

Two students train in machine learning on a computer
It's all business as two students in the Applied Machine Learning Intensive Summer Bootcamp work in the classroom.

The eight-week machine learning curriculum gives students the strong computer science foundation they need to work with large datasets and solve real-world problems. Classroom time is dedicated to hands-on learning, with faculty-supported, collaborative project work. Students learn actively outside of class, with instruction and new concepts delivered in person.

As machine learning becomes a powerful tool across industries — from healthcare and retail to investment banking and insurance — there is a growing need for a workforce that understands how to apply ML strategically and use ML models to collaborate with data scientists and engineers for maximum business impact.

Contacts

Tamara O. Ellenbecker, website developer
Department of Industrial Engineering
479-575-3157, tellenbe@uark.edu

Christin Finney, digital communications specialist
College of Engineering
479-575-4173, crn002@uark.edu

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