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Deep learning predictive models, optimization, and sampling algorithms. Emphasis is on learning the probabilistic framework, understanding the ideas behind modern machine learning algorithms, and practicing coding skills to solve real-world problems using computational approaches in artificial intelligence.
4
UnitsOptional
Grading1, 2
PasstimeNone
Level LimitLetters and science
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Nice grader. Almost all students of 237 get A. His course includes the most advanced topics about GP. Work hard and you will learn much.
Professor Gu's 120c is pretty worthy to take. Well I can't say it is an easy course, but there are lots of high level, even advanced statistics knowledge covered in the materials. The project is very realistic, like what you gonna do in a real experience. Also, you have plenty of chance to get extra points, which is good.
This course was taken during COVID, but his online class was not hard. There were no midterms, and the coding projects that replaced that were relatively easy. Largely, you just copied and altered his sample R code. The homework was pretty heavy but was not graded harshly. Overall, he was a nice guy and solid choice for online learning.
He was overwhelming. You will feel that too until you get your final grade. He curves the final grade insanely. People who got around 70% on the midterm and below 50% on the final got A- and B+. So don't freak out too much. He is a nice guy.
(NEVER) TAKE HIM! QUESTION ANSWERED. PLEASE (AVOID) TAKING HIM!
Fantastic Professor! He encourages you to self-study by not teaching. For cheaters, he is awesome! Take his class and enjoy watching your tuition disappearing!