Workshop Overview
This workshop introduces students to AI classification by training simple models to identify patterns, such as distinguishing whether an object is a fish or not. Beginners focus on basic classification exercises, while advanced learners explore deeper insights into how models interpret data and refine decision-making processes.
Beginner Path
Materials Required
Student PowerPoint
Beginner Path Learning Outcomes
Understand the concept of classification in AI.
Train a simple AI model to recognize patterns (fish activity).
Identify features that affect classification.
Experiment with data to improve model accuracy.
Apply problem-solving to machine learning challenges.
Advanced Path
Materials Required
Student PowerPoint
Advanced Path Learning Outcomes
Explore advanced classification use-cases.
Understand how feature importance is found in models.
Refine models through supervised training techniques.
Critically analyze AI decision-making processes.
Evaluate accuracy and optimize classification models.
If you’re unsure who your Chapter Leader is, please contact 
eventsupport@blackboyscode.com
 
to get connected and learn how you can support your local team.
Location --Lambton Tower -Rooms 3105 & 3119 School of Computer Science 401 Sunset Avenue, Windsor, ON N9B 3P4
Register Now, Space Is Limited!
For further questions you may have on the day of the workshop, please reach out to 
Windsor.ExposureWorkshop@blackboyscode.com
 or
student.help@blackkidscode.com
Register Now, Space Is Limited!
Information Source: Black Kids Code For Girls | eventbrite

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