COMP5318：机器学习和数据挖掘课程作业在线辅导，机器学习是自动构建用于解释和概括数据集的数学模型的过程。它将统计和算法开发的元素集成到同一学科中。数据挖掘是知识发现中的一门学科，旨在通过自动和半自动方式促进对大量数据的探索和分析。本主题提供了有关机器学习和数据挖掘的实用和技术介绍。涉及的主题包括发现数据模式，分类，回归，特征提取和数据可视化的问题。还涵盖了各种类型的机器学习技术和统计技术的分析，比较和使用。
细节入学规则学习成果码COMP5318
学术单位计算机科学
学分6
单元大纲
对于1000级和5000级单元，单元大纲将在教学的第一天前两周提供，对于所有其他单元，单元大纲将在教学的第一天前一周提供。
COMP5318: Machine Learning and Data Mining
Machine learning is the process of automatically building mathematical models that explain and generalise datasets. It integrates elements of statistics and algorithm development into the same discipline. Data mining is a discipline within knowledge discovery that seeks to facilitate the exploration and analysis of large quantities for data, by automatic and semiautomatic means. This subject provides a practical and technical introduction to machine learning and data mining. Topics to be covered include problems of discovering patterns in the data, classification, regression, feature extraction and data visualisation. Also covered are analysis, comparison and usage of various types of machine learning techniques and statistical techniques.