Date: 1404-04-20 Time: 10:00 PM to 12:00 AM Facilitator: Mehrdad
📌 Agenda
- Opening remarks
- Intro of ML and learning group goals
- Reflections on .NET experience
- Format discussion: books, courses, roles
- Repository structure and workflow
- Team contributions and responsibilities
- Next steps and summary
📝 Notes & Discussion
🔰 Intro & Philosophy
- The ML group is about learning together, not because we have to, but because it makes it better.
- Key benefits:
- More consistent learning
- Social and intellectual motivation
- Opportunity for future collaborations
💭 Reflection on .NET
- .NET started strong but had challenges:
- Initial teacher-led format added pressure
- Group expectations sometimes created imbalance
- Voluntary group ≠ forced workload
- Positive outcomes:
- Successfully finished most topics
- Learned about coordination and project dynamics
📚 How to Handle ML
Formats considered:
- Watching a course together
- Reading a book collectively
- Taking turns explaining topics
- Doing small projects
- Weekly sync-up meetings
Agreed on:
- Less pressure, more sharing
- Some members can curate content
- Use GitHub repo with rules + branches
- Encourage multiple contributors, not single leaders
⚙️ Roles and Team
- People may contribute based on time and interest
- Need 2–3 active curators or maintainers
- Consider forming a lightweight team for structure
📖 Courses and Books
- Decision pending on:
- Primary source (book vs course)
- Structure of progression
🛠 Obsidian + GitHub Setup
- Showed vault with:
- Topics
- Roadmap
- Meeting structure
- Templates
- Emphasis on clean structure and contribution model
✅ Decisions
- Start with Roadmap + weekly sync
- Contribute resources collaboratively
- GitHub will be used for shared content
- Obsidian as knowledge base
- Keep the group lean and agile (for now)
Tasks
| Task Description | Assigned To | Related Topic | Due Date |
|---|---|---|---|
| Watch lessons 5–14 of Statistics | Everyone | Math Foundations | 1404-04-27 |
| Read the Introduction chapter of Hands-On ML | (Optionally) Everyone | Intro to ML | 1404-04-27 |
🔁 Next Session
- Proposed date: TBD
- Next topic: Math Foundation
- Facilitator: TBD
📎 Resources Mentioned
- Hands-On ML
- Stanford ML (YouTube course)
- Pattern Recognition and Machine Learning – Christopher Bishop
- Andrew Ng – Coursera ML
- IBM ML Certificate
Tags
#meeting #ml-group #kickoff #group-learning #1404-04