Date: 1404-05-04

Time: 9:30 PM to 11:00 PM

Facilitator: Mehrdad


πŸ“Œ 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

πŸ“ 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 β€œPrepare the Data for Machine Learning Algorithms”).
  • 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.

βœ… 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 DescriptionAssigned ToRelated TopicDue Date
Watch lessons 21–27 of StatisticsEveryoneMath Foundations1404-05-10
Read [Hands-On ML] 3rd edition: part of chapter 2 (up to page 67)
(https://github.com/ageron/handson-ml3)
EveryoneIntro to ML1404-05-10

πŸ” Next Session


πŸ“Ž Resources Mentioned


Tags

#meeting #ml-group #math #statistics #group-learning #1404-05