Hands on Machine Learning

VU 2.0 ECTS, ST2024, dieAngewandte

jackie / Andrea Ida Malkah Klaura <andrea.klaura@uni-ak.ac.at>

Course Docs: https://tantemalkah.at/machine-learning/2024

Creative Commons Lizenzvertrag All contents, unless otherwise noted for specific elements, are produced by Andrea Ida Malkah Klaura under a Creative Commons Attribution-ShareAlike 4.0 International License.

Session 1: Intro of Hands-on Machine Learning

  1. Intro of outline & lecturer
  2. Intro of participants
  3. Teaching approach and grading requirements
  4. Group exploration - getting to know each other
  5. Setting up communication channels, open space / Q&A

Also available in the session doc

whoami

  • in daily life: jackie
  • legal name: Andrea Ida Malkah Klaura
  • i like all of them
  • my NN is currently trained on jackie

pronouns

  • she/her in binary space
  • ze/hir in the wider multiverse


usage: https://my.geeky.gay/pronouns/ze/hir/hirs/hirself

Level up!

That gender you got at birth? That's just a tutorial gender. You're only supposed to use it to get the hang on this world's gender system and then ditch it for a stronger one, not use it your entire life, noob
Source: kirin@monads.online, January 14, 2021 on Mastodon

technoscientific background

  • until 2002: HTL für Technische Informatik & Internet Engineering
  • short excursion into philosophy
  • until 2009: BSc Technische Informatik @ TU Wien
    • 🤔 if life then: term_scaling = 'years'
  • until 2014: MA Science - Technology - Society @ Uni Wien
  • afterwards short excursion to TU again: Educational Technologies
  • 2017-2020: MSc IT Security @ FH Technikum, extra occupational
  • notable work engagements:
    • 2016-2020: IT machinist @ Radio ORANGE 94.0
    • smaller web on the side, projects mostly for NGOs
    • since 2020: web engineer @ dieAngewandte
    • since 2021: also lecturer @ Angewandte Coding Lab
    • since 2023: Feminist Technoscience Studies lecturer @ TU Wien

what are you trying to tell us?

  • I'm not an ML expert
  • But I like how robots think
  • And I sometimes think like robots
  • We all are responsible to learn something
  • I am responsible for the course facilitation

course outline

see base course description

your turn

intro of participants

  • current name and pronouns in use
  • current study programme
  • how you came to be in this course
  • anything else we need to know about you

teaching approach & grading requirements

grading

see base course description

... vs. realities

  • amount of work will strongly differ individually
  • calculated amount should be ok to get a good grade
  • "excellence" is strongly dependent on environmental conditions
  • intrinsic motivation is key
  • study-life balance 😎

meet your personal project trainer

let's try out something

in case it wasn't available:

transcript

Sociogramming

  • How many people in this room do you already know?
  • Where do you live currently?
  • Where have you started to live?
  • When did you first get access to a computer (in life years)
  • When did you first get access to a computer (the year)
  • How many books (roughly) where in the household you grew up in?
  • When did you visit your first course at dieAngewandte?
  • Coding-related courses visited at the Angewandte?
  • Experience with Python
  • Experience with ML

Communication channels

  • base chat channel
    • for asnyc comm in general
    • for active participation (formalities)
  • base cloud folder
    • to share interesting stuff that does not fit into the chat
    • for exercise &amp; project submission
  • The official docs: https://tantemalkah.at/machine-learning/2024

open space / q&a