Courses
Courses that I've taken or assisted in teaching.
M.S. / Ph.D. — Computer Science, University of Maryland
GPA: 4.0/4.0
Fall 2022
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CMSC 723: Graduate Natural Language Processing by Prof. Jordan Boyd-Graber
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CMSC 848C: Selected Topics in Information Processing; Human-AI Interaction by Prof. Hal Daumé III
Spring 2022
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CMSC 828L: Advanced Topics in Information processing: Deep Learning by Prof. David Jacobs
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CMSC 764: Advanced Numerical Optimization by Prof. Tom Goldstein
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Teaching Assistant for CMSC 848Q: How and Why Artificial Intelligence Answers Questions by Prof. Jordan Boyd-Graber.
Fall 2021
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CMSC 828I: Advanced Techniques in Visual Learning and Recognition by Prof. Abhinav Shrivastava
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CMSC 828J: Advanced Topics in Information Processing; Common-sense Reasoning and Natural Language Understanding by Prof. Rachel Rudinger
MOOCs
- Five course Deep Learning Specialization by Prof. Andrew Ng, deeplearning.ai
- Neural Networks and Deep Learning
- Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
- Structuring Machine Learning Projects
- Convolutional Neural Networks
- Sequence Models
- Machine Learning by Prof. Andrew Ng, Stanford University