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UBC-CS/cpsc330: CPSC 330: Applied Machine Learning

原作者: [db:作者] 来自: 网络 收藏 邀请

开源软件名称（OpenSource Name）：

UBC-CS/cpsc330

开源软件地址(OpenSource Url)：

https://github.com/UBC-CS/cpsc330

开源编程语言(OpenSource Language)：

Jupyter Notebook 99.6%

开源软件介绍(OpenSource Introduction)：

UBC CPSC 330: Applied Machine Learning (2022W1)

This is the course homepage for CPSC 330: Applied Machine Learning at the University of British Columbia. You are looking at the current version (Sep-Dec 2022). You can find the earlier versions here:

Instructor: Varada Kolhatkar

License

© 2021 Varada Kolhatkar and Mike Gelbart

Software licensed under the MIT License, non-software content licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) License. See the license file for more information.

Important links

Deliverable due dates (tentative)

Usually the homework assignments will be due on Mondays (except next week) and will be released on Tuesdays.

Assessment Due date Where to find? Where to submit?
Syllabus quiz Sept 13, 11:59pm Canvas Canvas
hw1 Sept 12, 11:59pm Github repo Gradescope
hw2 Sept 19, 11:59pm Github repo Gradescope
hw3 Oct 03, 11:59pm Github repo Gradescope
hw4 TBD Github repo Gradescope
hw5 TBD Github repo Gradescope
Midterm Oct 27, during class time Canvas Canvas
hw6 TBD Github repo Gradescope
hw7 TBD Github repo Gradescope
hw8 TBD Github repo Gradescope
Final exam TBD Canvas Canvas

Lecture schedule (tentative)

Live lectures: The lectures will be in-person in TBD from 11am to 12:20pm. See this Calendar.

Lectures:

  • Try to watch the "Pre-watch" videos before each lecture.
  • I'll be developing lecture notes directly in this repository. So if you check them before the lecture, they might be in a draft form. Once they are finalized, I'll post them on the Jupyter book.
Date Topic Assigned videos and datasets vs. CPSC 340
Sep 6 UBC Imagine Day - no class
Sep 8 Course intro

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