課程簡(jiǎn)介
Course Introduction
通過(guò)此課程學(xué)生可以掌握大數(shù)據(jù)知識(shí)發(fā)現(xiàn)與應(yīng)用的基本方法，包括聚類，分類，數(shù)據(jù)處理等，并能夠按照工程學(xué)的方法，解決實(shí)際應(yīng)用上的大數(shù)據(jù)知識(shí)發(fā)現(xiàn)問(wèn)題，如醫(yī)療，交通方面的問(wèn)題，以保證大數(shù)據(jù)相關(guān)項(xiàng)目的正常實(shí)施。課程也會(huì)涉及機(jī)器學(xué)習(xí)方面的技術(shù)，總體培養(yǎng)以偏向?qū)嶋H應(yīng)用為主，科研解決問(wèn)題能力為輔。
教學(xué)大綱
Teaching Syllabus
Week 1 Introduction to Big Data Knowledge Discovery and Application/Clustering
Week 2 Classification/Evaluation Methods/Student Presentations
Week 3 Recommendation System/Student Presentations
Week 4 Expert Talk/Student Presentations
Week 5 Data Visualization/Forecasting System/Student Presentations
Week 6 Knowledge Discovery on Transportation/Student Presentations
Week 7 Knowledge Discovery on Education/Student Presentations
Week 8 Student Presentations/Conclusions
教學(xué)隊(duì)伍Teaching Members
相關(guān)課程Correlative
Courses
