Machine Learning in Science MSc

核心信息

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课程概览

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录取要求

2:1

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课程模块

核心模块

• Machine Learning in Science – Part 1
• Machine Learning in Science – Part 2
• Machine Learning in Science – Part 3
• Applied Statistics and Probability
• common univariate probability distributions
• joint and conditional distributions
• parameter estimation (for example via maximum likelihood)
• confidence intervals
• hypothesis testing
• statistical modelling
• Machine Learning in Science – Project

选修模块

• Handling Uncertainty with Fuzzy Sets and Fuzzy Systems
• the nature of uncertainty captured by fuzzy sets and associated links to human reasoning
• inference using fuzzy sets
• similarity of fuzzy sets
• design and modelling of information via fuzzy sets
• type-1 fuzzy sets
• type-2 fuzzy sets
• fuzzy logic systems
• fuzzy set based applications
• Simulation and Optimisation for Decision Support
• Linear and Discrete Optimisation
• Neural Computation

就业/职业信息

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