Tuesday, February 28, 2023

3/3/23: Workshop: Jupyter Notebooks and Google Collab (Parts 1 and 2)

 Machine Learning Study Group

Agenda & Minutes

  • Welcome to the 54th meeting, Mar. 3, 2023.
  • Updates/news/inputs/comments
    • We start at 4:00 (or as soon as the weekly seminar is over and people have logged in). Zoom automatically ends the meeting after 40 minutes. 
    • New members welcome. Anyone can join. You are welcome to attend any or all sessions. Also feel free to ask to be removed from the invite list at any time, as I have no wish to send unneeded emails which we all certainly get too much of.
    • Today: workshop on Jupyter Notebooks and Google Collab! See program below.

--------------------------------------------
Everyone,
    Would you like a hands-on, first introduction to using Jupiter Notebooks / Google Collab?
    A workshop, for anyone interested, will be this Friday at 4:00 (or a few minutes later if the seminar runs over). It will be only 40 minutes long, but participants can continue with part 2 the following Friday if they wish. The series will culminate in a demo of a ChatGPT-like system in 60 lines of Python.

Presenter: VW, a PhD student working with Dr. M
Forum: Machine Learning Study Group
Date and time: Friday, 3/3 at 4:00 p.m. to 4:40 p.m.
Venue: Zoom. Be on a computer (not phone) because it is hands-on.

To get the Zoom link, please send me an email and I will reply with the link.

Regards,
DB

P.S. Here are a few more details from VW:
---------------------
Intro to Python in Jupyter Notebooks: GAN in Sixty Seconds

This talk will be in four parts [on four successive Fridays]:

Part 1: basic mechanics of using Python Jupyter Notebooks in Google Colab.
      keeping track of resource usage
      keyboard shortcuts for code and text cells
      GPU provisioning: processor and RAM selection
      imports
      LaTex mathematics inclusion
      Tables
      images

Part 2: Basic Python Syntax
      variables
      data types
      containers, lists, dictionaries, sets, tuples, and functions
      modules

Part 3: Numpy Linear Algebra Library
      Pandas Procedural Spreadsheets
      Matplotlib, Subplots, Scatter plots, Histograms


Part 4: Gan in Sixty Seconds:
      A 60 line Python GAN that uses transfer learning and mimics ChatGPT.

Each session will be Friday at 4 pm and will last 30 minutes.

------------------------------------

Business for future meetings:

  • VK may continue informally stepping us through the article, "ChatGPT Strategy" by C. Goodall. We got up to the phrase "As AI powered systems are increasingly ...".
  • Here are some other things we have been reading or might like to read.
    • ChatGPT related readings, video viewings, etc.
  • At some point we can discuss and vote on other sources. See the list on the page of sources. Also Youtube is full of videos about neural nets, transformers, etc.
  • Readings/videos/demos we have finished. 
    • 2/17/23; "Deep Learning for AI" by Bengio, LeCun and Hinton, the Turing Award Lecture paper for 2018, published in CACM, 2021, https://dl.acm.org/doi/pdf/10.1145/3448250.
    • ChatGPT Is a Tipping Point for AI (Harvard Business Review). Finished 1/27/23.
    • 12/16/22: We demoed ChatGPT.
    • 11/4/22: We viewed and discussed a transformers video: https://www.youtube.com/watch?v=TQQlZhbC5ps first. This seemed to be one of the better videos of the many out there.
    • Transformers From Scratch," https://e2eml.school/transformers.html. Finished on 10/28/22.
    • The Narrated Transformer Language Model, Jay Alammar, https://www.youtube.com/watch?v=-QH8fRhqFHM, finished 7/22/22.
    • https://www.youtube.com/watch?v=F1X4fHzF4mQ. Finished 8/26/22.
    • We also finished other things from before this list of finished sources was created to keep a record of them.


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