Date: 1404-05-11
Time: 10:00 PM to 12:00 AM
Facilitator: Mehrdad
📌 Agenda
Course Review & Discussion
- Review Probability Course Progress (using course notebooks)
- Have Discussion and Talk About Confusions (Probability)
- Review End to End Project (using notes)
- Have Discussion and Talk About Confusions (ML)
About Math Foundations
- What to do this week
Numpy, Pandas, Matplotlib
- Specifying Practices / Examples
About Notes
- Who would be willing to contribute
- Math-related notes
- ML concept summaries
Overview Writing
- Should we create an overview?
- What would be the purpose?
- A study guide for others
- A reference for us to review later
Mini Project Ideas
- Long-term project concept:
- Recommendation system
- Price elasticity modeling
- Tackle it in incremental parts
- Open to other ideas or more popular projects – suggestions welcome!
📝 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: Review Math Foundations
- Task 2: Practice Working with Python Libraries
- Task 3: Read the Hands-On book and write code up to page 101 (Complete Chapter 2).
- Regarding Python and libraries, Start learning the concepts, based on one of the resources in Resources and do some exercises Exercises
- About AIC: here is the GitHub link for slides and content. It is recommended to review the slides covering Algebra, Statistics, and Probability.
✅ Decisions
- Reviewed the Probability course notebooks and clarified key confusions
- Reviewed the Intro to Hands-On ML notes and discussed questions
- Next Week’s Tasks:
- Review Math Foundations
- Practice Python libraries (NumPy, Pandas, etc.)
- Read and code through Chapter 2 of the Hands-On ML book (up to page 101)
- AIC Slide Review:
→ Recommended to study slides on Algebra, Statistics, and Probability from GitHub
Tasks
| Task Description | Assigned To | Related Topic | Due Date |
|---|---|---|---|
| Read [Hands-On ML] 3rd edition: part of chapter 2 (up to page 101) (https://github.com/ageron/handson-ml3) | Everyone | Intro to ML | 1404-05-18 |
| Review Math Foundations (Resources) | Everyone | Math Foundation | 1404-05-18 |
| Practicing Pandas, Numpy, Matplotlib (Resources,Exercises) | Everyone | Python Basics | 1404-05-18 |
🔁 Next Session
- Proposed date: TBD
- Next topic: Math Foundation, Python Basics , End-to-End Project
- Facilitator: TBD
📎 Resources Mentioned
Tags
#meeting #ml-group #math #statistics #group-learning #1404-05