SEM307DS Machine Learning and Data Science Assessment Guidance

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ASSESSMENT TASKS

Task 1 FORMATIVE TASK Machine Learning in Principle

FORMATIVE TASK

Instruction: Explain basic supervised machine learning to a non-specialist. Your report must contain the following:

• An outline of the features and objectives of supervised machine learning
• Identify and explain the challenges of supervised models
• Discuss the types of use-cases to which supervised Machine Learning models can be applied.

Task 2 SUMMATIVE TASK Machine Learning in your Organisation

SUMMATIVE TASK

Instruction: Carry out a comparison of unsupervised machine learning and basic reinforcement learning, and its potential application in your organisation. Your analysis must contain the following:

• An outline of the features of both unsupervised machine learning and reinforcement learning (LO 2.1, 3.1)
• Identify and explain how both face models face similar and different challenges (LO 2.2,3.2)
• A judgment as to the most effective model for use within your organisation (LO 2.3,3.3)