Using statistical and algorithmic techniques to give computer systems the ability to "learn" from data, without being explicitly programmed.
Protecting computer systems from theft or damage to their hardware, software or electronic data, as well as from disruption or misdirection of the services they provide.
Studying the theory, experimentation, and engineering that form the basis for the design and use of information, computation, and their implementation in computer systems.
Hi, I'm the founding faculty and research educator of FIRE Capital One Machine Learning, a FIRE: First-Year Innovation & Research Experience (opens new window) innovation & research stream experience at the University of Maryland (opens new window).
FIRE Capital One Machine Learning is a year-long (2-3 semester) CURE: Course-based Undergraduate Research Experience (opens new window) that immerses first-year (new freshman, freshman connection, transfer) undergraduate students in faculty-led research and mentorship experience in machine learning.
We focus on helping students develop research and career-ready skills by training them to work on technical projects in the field of machine learning, deep learning, or artificial intelligence using recently developed techniques and perspectives, and apply them to market-relevant areas such as computer vision, natural language processing, automation, and data analytics.
If you are a prospective or newly admitted new freshman, freshman connection, or transfer student and would learn more about applying to join FIRE, please find the program application information here (opens new window).
Upon the completion of the FIRE Capital One Machine Learning stream experience, students will also have the opportunity to become a peer research mentor (opens new window), and receive recommendation help them succeed in their next steps (opens new window), such as be hired (opens new window) at a company and startup, be recruited as a student researcher (opens new window), or be admitted as a graduate student (opens new window) at our university or beyond.
If you are prospective academic, industry, or government partner, and would like to collaborate with FIRE Capital One Machine Learning on a research project, or would like to provide sponsorship, please find the partnership and sponsorship information here.
Email: [email protected]
Location: 3136 A.V. Williams Building, University of Maryland, College Park