Course coordinators are listed on the course listing for undergraduate courses and graduate courses. I am a 5th-year CS PhD student at the University of Washington. Express your opinions freely and help others including your future self 1) -- Fall 2019. PHY 546: Python for Scientific Computing Spring 2018. a weekly graduate seminar on techniques for scientific programming. I was a teaching assistant for. 2021 Peng Hu, Xi Peng, Hongyuan Zhu, Liangli Zhen, Jie Lin, Learning Cross-modal Retrieval with Noisy Labels, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Jun. The exact location of the source location will vary depending on which repository site you are using, but they are usually located near the top for easy access. CS546 Parallel and Distributed Processing (3 cr. Biography. The source location of the repository will be displayed on the repository page. CS 546 Web Programming Syllabus The syllabus below describes a recent offering of the course, but it may not be completely up to date. CSE 571: Artificial Intelligence: Dr Yu Zang: CSE 574: Statistical Machine Learning: Dr Hanghang Tong: CSE 574: Planning/Learning Methods AI: Dr Stephanie Gil: CSE 546: Cloud Computing: Dr Ming Zhao: CSE 572: Data Mining: Dr Ayan Banerjee: CSE 578: Data Visualization: Dr Ihan Hsiao CSE 546 Machine Learning Final Project - Identifying Genre by Album Cover 6 minute read In this project, we attempted to develop an algorithm that will classify an album’s musical genre/style based on the cover art. Go to the github (or whichever git product) page of the repository you are trying to clone. STAT 538 (Winter 2019 & Winter 2020, UW): Statistical Learning: Modeling, Prediction, and Computing. For current details about this course, please contact the course coordinator. Instructor: Michael Zingale syllabus MISC Teaching. Look for a URL. Proficiency in Python, familar in C/C++ We will mainly be using python for case study the existing systems, and C/C++ for some of the background hacking. Text Books Required Basic knowledge of machine learning (e.g CSE 546) MATH 394 (Winter 2021, UW): Probability I. STAT 516 (Autumn 2020, UW): Stochastic Modeling. Tutorial on Optimal Transport in Computational Neuroscience, Neurohackademy, 2020.. 19-25, 2021. Slack: Join https://uw-cse.slack.com dlsys channel for course discussions and announcements; Prerequisites. EDUCATION Ph.D. in Computer Science,Paul G. Allen School, University of Washington(expected) 2023 B.E in Computer Science, Minor in Mathematics,University of MichiganFall 2017 TEACHING EXPERIENCE Teaching Assistant, University of Washington •CSE 546: Machine Learning Fall 2018 Teaching Assistant, University of Michigan I work with Prof. Tom Anderson and Prof. Arvind Krishnamurthy.I am broadly interested in distributed systems, data center networking and deep learning systems.Before joining UW, I obtained a bachelor's degree in Computer Science and Physics from Williams College and was a visiting student at Caltech for one year. Last modified August 28, 2019 Lecture 3:15 pm - 4:30 pm, Tuesday and Thursday, 111 Stuart Building, MC sect.