威海计算机科学留学背景提升
威海集思计算机数据科研项目内容包括机器学习与数据科学概论、商业分析中市场数据处理的机器学习技术与算法、Python与Jupiter notebooks交互式学习、机器学习库、股市预测等。学生将在项目中学习如何使用机器学习完成商业市场数据分析，进行股市预测，在项目结束时，提交项目报告，进行成果展示。
导师介绍
Patrick
终身教授
Dr.Patrick is an Associate Professor in the Department of Statistics at the University of Oxford.Prior to joining the University of Oxford,he was a Lecturer in the Computer Science department at Yale University and a Postdoctoral Associate at the Yale Institute for Network Science.He has a Ph.D.in Operations Research and Financial Engineering from Princeton University,where he worked in Applied Probability.His current research interests lie at the intersection of Applied Probability,Statistics,and Computer Science.He is interested in the investigation of fundamental principles to perform scalable inference,learning,and optimization in high-dimensional models,and in the design and analysis of algorithms in Machine Learning,with applications to graphical models and Monte Carlo methods.Patrick导师现任牛津大学终身教授，曾任教于耶鲁大学计算机科学系，拥有普林斯顿大学博士学位，荣获牛津大学杰出教学奖。Patrick教授的研究研究兴趣集中在应用概率、统计学和计算机科学的交叉领域,聚焦于高维概率、统计和优化的基本原理，为机器学习和人工智能提供高计算效率、统计较优的算法。导师同时对图形建模以及蒙特卡洛模拟方法颇有研究。
项目大纲
机器学习与数据科学概论Machine learning and data science
商业分析中市场数据处理的机器学习技术与算法Techniques and algorithms(linear models,random trees,random forests,boosting,kernel methods,deep learning,etc)on real-world market data processing
Python与Jupiter notebooks交互式学习Python and Jupiter notebooks for interactive learning
机器学习库Libraries for machine learning
股市预测Machine learning on predicting the stock market
项目回顾与成果展示Program Review and Presentation
论文辅导Project Deliverables Tutoring
适合人群
高中生|大学生
希望修读计算机、数据科学、商业分析等专业或者对Python机器学习在商业分析中的应用感兴趣的学生学生需要具备线性代数及概率论与数理统计基础，至少会使用一门编程语言并修读过算法与数据结构，有商业数据分析经验的申请者
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