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Machine Learning Concepts: An Educational Game Simulation
內容大綱
This is a game simulation case on Machine Learning (ML) and can be used in the classroom to introduce to students the foundational concepts of ML. The case begins with a brief background on ML, its origins, the objectives of its usage across various industries, and ends with a future outlook on the relevance of ML. At the end of the case, a link to the game simulation is provided, which can be played by students in the classroom. The main topics covered in the game simulation include: • An introduction to ML • Different categories of ML algorithms including unsupervised, supervised and re-enforcement learning (based on the differences in the way they process the data for decision-making). • Identifying applications and use cases of ML