Date: 1404-05-04
Time: 9:30 PM to 11:00 PM
Facilitator: Mehrdad
π Agenda
Course Review & Discussion
- Review Probability Course Progress (using course notebooks)
- Have Discussion and Talk About Confusions (Probability)
- Review Intro to ML (using notes)
- Have Discussion and Talk About Confusions (ML)
Planning What to Do Next
Timeline Goals
- Two-week plan:
- Finish Chapter 2 (ML course)
- Finish Statistics and Probability Course
- Finish Python + NumPy basics
Hands-On Setup
- Choose Hands-on Source:
- What book?
Numpy, Pandas, Matplotlib Plan
- Decide:
- How much time to spend
- How deep to go
Other Topics to Cover
- What else should we learn? (e.g., vectors, linear algebra, etc.)
- Slides and codes from AIC GitHub
π Notes & Discussion
- We reviewed the Probability course using the notebooks provided by the course, discussed confusions, and here is the link to the QA section.
- We reviewed the Intro to Hands-On part, using these notes (link), talked about confusions, and here is the link to the QA section.
- We discussed plans for next week:
- Task 1: Complete the Statistics course.
- Task 2: Read the Hands-On book and write code up to page 67 (up to but not including βPrepare the Data for Machine Learning Algorithmsβ).
- Regarding Python and libraries, we decided to postpone this until next week to focus on finishing the Statistics course first and allow more time for the libraries afterward.
- About AIC: here is the GitHub link for slides and content. It is recommended to review the slides covering Algebra, Statistics, and Probability.
β Decisions
- Focus next week on completing the Statistics course.
- Study the Hands-On book code exercises up to page 67.
- Postpone deep diving into Python libraries (NumPy, Pandas, etc.) until after the Statistics course.
- Review AIC slides and content to strengthen understanding of Algebra, Statistics, and Probability.
Tasks
Task Description | Assigned To | Related Topic | Due Date |
---|---|---|---|
Watch lessons 21β27 of Statistics | Everyone | Math Foundations | 1404-05-10 |
Read [Hands-On ML] 3rd edition: part of chapter 2 (up to page 67) (https://github.com/ageron/handson-ml3) | Everyone | Intro to ML | 1404-05-10 |
π Next Session
- Proposed date: TBD
- Next topic: Math Foundation, End-to-End Project
- Facilitator: TBD
π Resources Mentioned
Tags
#meeting
#ml-group
#math
#statistics
#group-learning
#1404-05