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F26 - (Year 9 to Year 12) Naïve Bayes – from spam detection to Sorting Hat
(Year 9 To Year 12)
Session Description
Naïve Bayes classifier is a simple and efficient machine learning algorithm that builds on the knowledge of conditional probability. A teaching sequence is designed to facilitate the transition from probability theories in Mathematics to classification tasks in Data Science. It was implemented and refined in a classroom setting. Students’ insights and responses are discussed to illustrate that the content is accessible for secondary mathematics students as a stepping stone into the world of Data Science. When new information is used to update prior beliefs, students can gain experience in this discipline, transferring data into knowledge.
Key takeaways:
1. A teaching sequence that introduces a classification algorithm to senior secondary students in an engaging way.
2. A knowledge and technology themed TOK activity for IB DP schools.
Remember: Prior knowledge: conditional probability and a basic familiarity with the Harry Potter series. There is no coding in this session.
Key takeaways:
1. A teaching sequence that introduces a classification algorithm to senior secondary students in an engaging way.
2. A knowledge and technology themed TOK activity for IB DP schools.
Remember: Prior knowledge: conditional probability and a basic familiarity with the Harry Potter series. There is no coding in this session.