CSEdWeek: Machine Learning with Teachable Machine for Gr 6/7/8/9

CSEdWeek
December 4 to 10, 2023

CSEdWeek is an annual call to action to inspire K-12 students to learn computer science, advocate for equity in computer science education, and celebrate the contributions of students, teachers, and partners to the field.

This CSEdWeek, explores the theme "Impacts of Computing," delving into the positive and negative effects of computer science on education, privacy, security, and accessibility. Beyond programming, this initiative aims to broaden students' understanding of computer science's ethical, social, economic, and environmental implications. We acknowledge the contributions of those who have harnessed the positive aspects of computer science, fostering classroom discussions on the intended and unintended impacts, and encouraging critical debate.

For more info: https://www.csedweek.org/

Women Techmakers Ambassador Led Workshop
Join our empowering workshop, "Machine Learning with Teachable Machine," on Saturday, Dec. 9, 2023. Led by passionate Women Techmakers Ambassadors, this unique opportunity for Grade 6 to 9 students explores the fascinating world of machine learning. Gain hands-on experience with Google's Teachable Machine platform, creating and training your own models. Our ambassadors guide you through machine learning basics, emphasizing diversity and inclusion in tech. Inspire future tech leaders by encouraging your students to join us on this educational journey!

Women Techmakers Ambassadors: Shaimaa Abbas and Sherry Yang

Hosted by Signal Hill Library with the support of Google Developers Group Calgary (GDGYYC)

Prerequisite

Ready to learn about machine learning
Bring your own laptop (Chromebooks are available to loan)
Sign up to attend (spots are limited)

Workshop Flow (2 hours)

Introductions
Understanding machine learning
Train a model
Use the model on a webpage
Demos

#CSEdWeek #ImpactsofComputing #WomenTechmakers #GoogleDevelopersGroup #GDGYYC

Agenda

Day 1

1:00 PM: Introductions

Welcome messages and workshop overview

1:15 PM: Understanding machine learning

Walkthrough classifications and the final project

1:45 PM: Train a model

Lean and apply on Teachable Machine

2:15 PM: Use the model on a webpage

Review conditional programming and apply the trained model

2:45 PM: Demos

Show and tell

3:00 PM: Closing

Workshop ends

Day 2