Machine learning is the study that allows computers to adaptively improve their performance with experience accumulated from the data observed. The course teaches the most fundamental algorithmic, theoretical and practical tools that any user of machine learning needs to know. [機器學習旨在讓電腦能由資料中累積的經驗來自我進步。本課程將介紹各領域中的機器學習使用者都應該知道的基礎演算法、理論及實務工具。]
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The course extends the fundamental tools in "Machine Learning Foundations" to powerful and practical models by three directions, which includes embedding numerous features, combining predictive features, and distilling hidden features. [這門課將先前「機器學習基石」課程中所學的基礎工具往三個方向延伸為強大而實用的工具。這三個方向包括嵌入大量的特徵、融合預測性的特徵、與萃取潛藏的特徵。]
“法与社会”这门课程要在多层多样的社会关系中解读法律,并且透过法律来考察和把握社会的各种现象。本课程将课堂讲授与媒体教学有机结合,使学生对法社会学有一概括了解,用比较的眼光对法律制度和规范的内容进行分析,对中国法律传统及其演变进行准确定位。
"Law and Society" aims to offer both readings of law that vary with the diversity of social relations and understandings of social events from the legal perspective. This module, through a combination of lectures with multimedia presentation, is designed to enable the students to gain a general knowledge of sociology, to analyse legal institutions and norms by comparative means, and to have a clearer idea of the legal tradition and its evolution in China.
本课程以通俗的语言介绍粒子物理的主要内容和最前沿的研究。课程涉及的主要内容包括: 物质和反物质, 夸克和强相互作用,中微子和弱相互作用,对称性和它的作用, 粒子物理的标准模型,粒子天文学, 暗物质。
This course gives an brief introduction of the main content and the frontier of particle physics in popular language. It includes: matter and antimatter, quark and strong interaction, neutrino and weak interaction, symmetry and its applications, standard model of particle physics, particle astronomy, dark matter etc.