COMP5318：機(jī)器學(xué)習(xí)和數(shù)據(jù)挖掘課程作業(yè)在線輔導(dǎo)，機(jī)器學(xué)習(xí)是自動(dòng)構(gòu)建用于解釋和概括數(shù)據(jù)集的數(shù)學(xué)模型的過(guò)程。它將統(tǒng)計(jì)和算法開(kāi)發(fā)的元素集成到同一學(xué)科中。數(shù)據(jù)挖掘是知識(shí)發(fā)現(xiàn)中的一門(mén)學(xué)科，旨在通過(guò)自動(dòng)和半自動(dòng)方式促進(jìn)對(duì)大量數(shù)據(jù)的探索和分析。本主題提供了有關(guān)機(jī)器學(xué)習(xí)和數(shù)據(jù)挖掘的實(shí)用和技術(shù)介紹。涉及的主題包括發(fā)現(xiàn)數(shù)據(jù)模式，分類(lèi)，回歸，特征提取和數(shù)據(jù)可視化的問(wèn)題。還涵蓋了各種類(lèi)型的機(jī)器學(xué)習(xí)技術(shù)和統(tǒng)計(jì)技術(shù)的分析，比較和使用。

　　細(xì)節(jié)入學(xué)規(guī)則學(xué)習(xí)成果碼COMP5318

　　學(xué)術(shù)單位計(jì)算機(jī)科學(xué)

　　學(xué)分6

　　單元大綱

　　對(duì)于1000級(jí)和5000級(jí)單元，單元大綱將在教學(xué)的第一天前兩周提供，對(duì)于所有其他單元，單元大綱將在教學(xué)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.