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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.
机器学习是自动构建数学模型来解释和概括数据集的过程。它将统计和算法发展的要素集成到同一学科中。数据挖掘是知识发现中的一项学科,旨在通过自动和半自动手段来促进大量数据的探索和分析。该主题为机器学习和数据挖掘提供了实用的技术介绍。要涵盖的主题包括在数据,分类,回归,特征提取和数据可视化中发现模式的问题。还涵盖了各种机器学习技术和统计技术的分析,比较和使用。

Tuesday 5pm
Quizzes 5% and each worth 0.5 marks
Assignment 1 10% Week 7, Monday 11:59pm (7 April)
Assignment 2 25% Week 11, Monday 11:59pm (12 May)
final exam 60%

- Author:盛溪
- URL:https://tangly1024.com/article/Introduction%20and%20assessment
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