Overview
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Academic contacts
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Offerings
DUBAI-ISC-TJD-FACE2FACE-2026-2026
DUBAI-ISC-TMD-FACE2FACE-2025-2025
DUBAI-ISC-TMD-FACE2FACE-2027-2027
DUBAI-ISC-TSD-FACE2FACE-2026-2026
KAPLAN-SGP-TJA-MIXEDMODE-2025-ONGOING
KAPLAN-SGP-TMA-MIXEDMODE-2025-ONGOING
KAPLAN-SGP-TSA-MIXEDMODE-2025-ONGOING
MURDOCH-S1-FACE2FACE-2025-ONGOING
MURDOCH-S1-ONLINEFLEX-2025-ONGOING
Requisites
Prerequisite
Other learning activities
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Learning activities
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Learning outcomes
1.
Explain the fundamental concepts of machine learning and the main ideas behind classical machine learning techniques.
2.
Apply and analyse appropriate machine learning solutions in real-life applications.
3.
Analyse the latest advancements in machine learning and evaluate their effectiveness in the context.
4.
Apply the Python programming language to implement machine learning algorithms and perform data analysis tasks.
Assessments
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