Introduces students to AI and its applications through a focus on machine learning for image analysis and natural language processing.
Schedule: 9:00 am – 10:30 am EST, Monday-Friday, January 4-15, 2021
Commitment: 1.5 hours/day for 2 weeks
Delivery Method: Synchronous
Credential: This course earns a Practical Oriented Experience (POE) transcript notation.
Team Lead: Lawrence Carin, Ph.D.
Emphasizing intuition, simple coding and applications AI for Everyone is suitable for all students regardless of their previous mathematical or computer science knowledge. Case studies will outline the coding software utilized and show how technology is used in practice.
This program enhances students’ digital literacy and highlights problem-solving. The program will be delivered across ten days covering a variety of topics including problem-solving and collaborative practices in technology, political applications, and professional life.
Jan 4: What is machine learning? What is a “machine” and how does one do “learning” on a computer? (David Carlson)
Jan 5: Logistic regression and a multi-layered perceptron (MLP); introduction to deep learning (Ricardo Henao)
Jan 6: Analysis of electronic health records using a MLP (Rachel Draelos)
Jan 7: Use of CNNs for image analysis (Tim Dunn)
Jan 8: Recurrent neural networks for analysis of sequential data (Larry Carin)
Jan 11: CNNs for analysis of pathology images (David Dov)
Jan 12: Analysis of neuroscience data with recurrent neural networks (David Carlson)
Jan 13: Analysis of American politicians via natural language processing analysis of their Tweets (Sunshine Hillygus)
Jan 14: Introduction to PyTorch for machine learning (Serge Assaad)
Jan 15: The transformer network for natural language processing (Larry Carin)
This program continues our tradition of Duke experts sharing their cutting-edge expertise and thought leadership in advanced artificial intelligence and machine learning, directed by the vision of Dr. Carin. Since 2017, we have delivered 8 machine learning schools in 3 different countries to broad audiences of students, professionals, and academics, and presented 80+ learning experiences at Duke.
AI for Everyone in the 2021 Winter Breakaway is an offering of the new Center for Computational Thinking (CCT). The mission of the CCT is to prepare Duke graduates to apply computational thinking to ideas, challenges, and opportunities while simultaneously considering the ethical, legal, and social impacts of technology on humans for the betterment of society. Learn more at https://computationalthinking.duke.edu/
Lawrence Carin is the James L. Meriam Distinguished Professor of Electrical and Computer Engineering at Duke, where he also serves as the Vice Provost for Research. He is one of the most prolific authors in the world in the fields of machine learning and artificial intelligence, regularly publishing in the most competitive forums. He has taught at Duke for over 23 years, and has published nearly 400 peer-reviewed papers. He is also the Chief Scientist at a machine learning startup, Infinia ML.