Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.12202/8189| Title: | COM4010: Machine Learning Applied |
| Authors: | Feltenberger, David 0000-0001-8784-9063 |
| Keywords: | data science applied |
| Issue Date: | Aug-2022 |
| Publisher: | Yeshiva College, Yeshiva University |
| Citation: | Feltenberger, D. (2022, Fall). COM4010: Machine Learning Applied. Yeshiva College, Yeshiva University. |
| Series/Report no.: | Yeshiva College Course Syllabi Fall 2022;COM4010 |
| Abstract: | COM 4010 - Machine Learning Applied Data Science lies at the intersection of mathematical modeling, software engineering, Artificial Intelligence, and data management. This course is designed to provide a hands-on end-to-end perspective on data science, i.e., all the components that go in to building and deploying high quality data science solutions. 3.000 Credit hours |
| Description: | YC course syllabus / YU only |
| URI: | https://hdl.handle.net/20.500.12202/8189 |
| Appears in Collections: | Yeshiva College Syllabi -- 2021 - 2022 courses (past versions for reference ONLY) -- COMP SCI (Computer Science) |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| COM 4010 Data Science Applied Feltenberger.pdf Restricted Access | 70.61 kB | Adobe PDF | View/Open |
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