Join our workshop, Machine Learning with Teachable Machine on Dec. 9, 2023 led by Women Techmakers Ambassadors. The workshop is tailored for Grades 6-9 to explore hands-on machine learning with Google's Teachable Machine. Gain essential skills, guided by ambassadors fostering diversity and inclusion. Inspire future tech leaders—encourage your students to join this educational journey!
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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/
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
Workshop Flow (2 hours)
#CSEdWeek #ImpactsofComputing #WomenTechmakers #GoogleDevelopersGroup #GDGYYC
Saturday, December 9, 2023
8:00 PM – 10:00 PM (UTC)
8:00 PM | Introductions |
8:15 PM | Understanding machine learning |
8:45 PM | Train a model |
9:15 PM | Use the model on a webpage |
9:45 PM | Demos |
10:00 PM | Closing |
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