This course is meant to introduce students to machine learning and deep learning. ME 107 is taught at the undergraduate level and teaches students how to identify a machine learning problem in the context of real-world applications, mathematically formulate a learning problem, identify when a learning problem is well-posed, under-determined and overdetermined, and develop algorithms and Python code to solve the problem. Students are introduced to the concepts of learning algorithms, overfitting, under-fitting, statistical measures of estimators, optimization approaches to learning, principal component analysis, regression, support vector machines, and artificial neural networks.
3
UnitsLetter
Grading1, 2, 3
PasstimeUpper division only
Level LimitEngineering
CollegeGreat professor all-round. Understanding, answers questions with responses tailored to EVERYONE. Posts notes online pretty much day-of, gives gracious extensions and extra credit to patch up your grade, but still expects you to try your best. Dulls the edge of new and difficult material and makes it enjoyable. Archetype of modern lecturers.
This class was essentially cut in half due to the TA strike, so my grade was only based on 1 paper, the midterm, & participation. Attendance wasn't mandatory but class lectures were interesting. All the papers were super straightforward and short. The midterm was weirdly hard and lacked structure but they were flexible about dropping questions.
he box jumped onto the table. incredible athlete. respecc fosho fosho
Professor zimman was incredibly laid back. Lecture was fairly interesting and data analysis papers were really pretty simple if you go to lecture. Jamal was an amazing TA and clarifies exactly how to do well on the data analyses. Final was fairly tough though. Attendance does not matter which is a plus. Records all lectures and understands GS.
Prof Yeung is an incredibly smart professor, sometimes to a fault because I don't think he fully realizes how hard this material (controls theory) is to many students. But he is really caring and accommodating with homework extensions and shorter or simpler homework. Always willing to answer questions and helpful office hours. Hw, midterm, final.
This professor is very research oriented when I asked him about opportunities he is very open to new people in the lab. Just do well I his class and u can get some research in this field easy because of all the practical skills. Hw is super easy