Machine Learning is a crucial component of data analytics that automates analytical model building in modern business contexts. In today’s big data era, the ability to analyse vast and diverse data sources empowers organisations to make informed and data-driven decisions across various business domains. This unit covers a wide range of cutting-edge machine learning algorithms that learn from data, unveiling hidden patterns and relationships critical for strategic business decision making. Potential topics include: Neural Networks, Deep Learning, Text Analytics, Natural Language Processing, Advanced Ensemble Methods, Matrix Decomposition, and Recommender Systems. Emphasis is placed on practical applications involving the analysis of business data, allowing students to develop skills in applying machine learning techniques to solve real-world business challenges.
Unit details and rules
Academic unit | Business Analytics |
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Credit points | 6 |
Prerequisites
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QBUS6810 |
Corequisites
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None |
Prohibitions
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None |
Assumed knowledge
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None |
Available to study abroad and exchange students | Yes |
Teaching staff
Coordinator | Junbin Gao, junbin.gao@sydney.edu.au |
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