![]() (1) Multi-class and multi-label classification, (2)Structural prediction (Structural SVM, Conditional random fields), (3) Hidden Markov models, (4) Recurrent neural networks, (5) Semi-supervised learning and weakly-supervised learning, (6) Compressed sensing, sparsity and low-rank, (7) Meta-learning and Reinforcement learningĬOGS 118A, or CSE151A, or CGOS181, or consent from the instructor. We will go through some popular topics in machine learning covering: Advanced and new machine learning methods will be discussed and studied. This course is an advanced seminar and project course that follows the Natural Computation courses. Gradesope (For submitting your homework assignments) Piazza (For posting homework assignments, lecture slides, questions, answers, announcements, polls. Yushan Wang: Wednesday(Dec 16) 2:00pm -3:00pmĬourse website (Syllabus, Slide links, Homework links. The project is the final project assignment for COGS 181, a UCSD class with focus on Neural Network and. Monday (7:00-8 :00 pm)ĭaniel Lee: Wednesday (Dec 16), 1:00pm-2:00pm TigerGraphUniversity of California San Diego. This will include: Multidisciplinary Collaboration Agile Software Development Extreme Design. Jia (Elvis) Shi: Monday (6:00- 7:00 pm), Zoom 14:25, COGS 121 COGS 121: HCI Programming Studio 2/2 During this second phase, the lectures will focus on a variety of topics that will support you in the development of your projects. ![]() ![]() Kwonjoon Lee: Friday (4:00pm-5:00pm), Zoom This course is self-contained and we will make the course slides available online, as well as various useful links. COGS 108: Data Science in Practice COGS 109: Modeling and Data Analysis DSC 106: Introduction to Data Visualization DSC 100: Intro to Data Management CSE. Kwonjoon Lee: Tuesday (8:00pm-9:00pm), Zoom
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