入门和过度课:python语法+统计+网页制作 DSA5102X Foundations of Machine Learning 机器学期基础 据学生反映说2020届是由一位剑桥数本+普林数博的老师授课 CS5224 Cloud Computing 云计算 DSA5201 DSML Industry Consulting and Applications Project DSML行业咨询和应用项目 毕业项目,可以选择跟老师做课题也可以自己找企...
机器学习基础/机器学习理论和算法Foundations of Machine Learning/Theory andAlgotithms for Machine Learning 云计算Clouding Computing 数据科学和机器学习行业咨询与应用项目DSML Industry Consulting and Applications Project 数据科学家深度学习Deep Learning for Data Scientists 行业数据挖掘Data Mining for Industry 大数...
Optimization Foundations of Machine Leaning 机器学习的优化基础 DSML Industry Consulting and Applications Projec 数据科学与机器学习的行业咨询和应用项目 Advanced Topics in Machine Learning 机器学习的高级主题 Deep Learning and Applications 深入学习与应用 Cyber Security for Internet of Things 物联网网络安全 App...
2. 大规模数据驱动推理优化(Optimisation for Large-Scale Data-Driven Inference):学生将学习如何通过优化算法处理和推理大规模数据,解决实际问题。 3. 机器学习基础/机器学习理论和算法(Foundations of Machine Learning/Theory and Algorithms for Machine Learning):课程覆盖机器学习的基本理论和常用算法,帮助学生理解和...
:建议有（参考值：GMAT:703; GRE:324,数学169，语,155，写作3.5）5、其他提前批申请时间：5月3日至7月30日申请费：S$50.00课程时长：1年（全日制）6、申请材料本科成绩单或至少有5个学期的成绩单至少一封推荐信，需要网推简历学位证书、均分证明（非强制）二、MSc in Data Science and Machine Learning...
课程设置:30学分,12学分的必修课,12学分的分支选修课,6学分的其他选修课。必修课有:Machine Learning in Finance,Foundations of Statistical Modelling,Introduction to FinTech,FinTech Ecosystem and Innovations,Principles of Finance and Risk...
课程设置:30学分,12学分的必修课,12学分的分支选修课,6学分的其他选修课。必修课有:Machine Learning in Finance,Foundations of Statistical Modelling,Introduction to FinTech,FinTech Ecosystem and Innovations,Principles of Finance and Risk Management,Python Programming,Python for Data Analysis。
其中核心课程一共有7个模块,分别是Statistical Foundations of Data Science, Applied Regression Analysis, Analysis of Time Series Data, Sampling from Finite Populations, Advanced Statistical Theory, Statistical Models: Theory/Applications, Statistical Research Project, 但需要从中选择5个模块学习,其中Statistical ...
其中核心课程一共有7个模块,分别是Statistical Foundations of Data Science, Applied Regression Analysis, Analysis of Time Series Data, Sampling from Finite Populations, Advanced Statistical Theory, Statistical Models: Theory/Applications, Statistical Research Project, 但需要从中选择5个模块学习,其中Statistical ...
Foundations of Business Analytics Advanced Analytics and Machine Learning (Pre- requisite DBA5106) Elective Modules (From 5 Verticals): Big Data Analytics Techniques Consumer Data Analytics Financial & Risk Analytics Healthcare Analytics Statistical Modelling ...