ࡱ> 9 RLbjbj@@s*h*hp p         4T z$V  #8- "  4F  GL3J0zD#D#D# zD#p b : -NWS"~?el'Yf[ zYef['Y~ Course Syllabus of Zhongnan University of Economics and Law Course Title: Statistical Machine LearningCourse Code31133026SemesterThe first semesterTeaching Hours48Credits3PrerequisitesMathematical Statistics, Matrix TheoryInstructor InformationNameHanwen NingEmailninghanwen@163.comInstituteSchool of Statistics and MathematicsApplicable ObjectPhD candidate in statisticsCourse Objectives1. Strengthen the education of scientific ethics, pay attention to the training of scientific thinking methods and the cultivation of scientific spirit, improve students' ability to analyze and solve problems, and stimulate students' feelings of loyalty to the party and patriotism, serving the country through machine learning, strengthening the country through machine learning and protecting the country through machine learning (ideological and political goals). 2. Be familiar with and master various basic concepts, theories and methods of statistical machine learning. 3. Have the ability to use statistical machine learning methods to solve practical problems.Course Description (200 words)Statistical learning theory is a framework for machine learning drawing from the fields of statistics and functional analysis.[1][2][3] Statistical learning theory deals with the statistical inference problem of finding a predictive function based on data. Statistical learning theory has led to successful applications in fields such as computer vision, speech recognition, and bioinformatics. This is an introductory-level course in supervised learning, with a focus on regression and classification methods. The syllabus includes: linear and polynomial regression, logistic regression and linear discriminant analysis; cross-validation and the bootstrap, model selection and regularization methods (ridge and lasso); nonlinear models, splines and generalized additive models; tree-based methods, random forests and boosting; support-vector machines; neural networks and deep learning; survival models; multiple testing. Some unsupervised learning methods are discussed: principal components and clustering (k-means and hierarchical). This is not a math-heavy class, so we try and describe the methods without heavy reliance on formulas and complex mathematics. We focus on what we consider to be the important elements of modern data science.Assessment MethodsBy submitting course papers.Textbooks and ReferencesTextbooks: 1 Vapnik, Vladimir.The nature of statistical learning theory. Springer science & business media, 1999. References: 1 Berk, Richard A.Statistical learning from a regression perspective. Vol. 14. New York: Springer, 2008. 2 James, Gareth, Daniela Witten, Trevor Hastie, and Robert Tibshirani.An introduction to statistical learning. Vol. 112. New York: springer, 2013.Course planningChapter 1Topic: Introduction Introduce the basic contents and learning methods of the course, and establish the students' awareness of loyalty to the party and patriotism, serving the country through finance, patriotism and protecting the country through ideological and Political Education.Chapter 2 Topic: Linear model Understanding the basic theory of linear model, Applying them for practical problems.Chapter 3Topic: Logistic regression Understanding the basic theory of logistic regression, Applying them for practical problems.Chapter 4Topic: Loss functions Understanding the basic theory of loss functions, Applying them for practical problems.Chapter 5Topic: Support Vector Machine Understanding the basic theory of support vector machines, Applying them for practical problems.Chapter 6Topic: More kernel methods Understanding the basic theory of kernel methods, Applying them for practical problems.Chapter 7Topic: Random Forests  ,.>DFVl   . 0 2 T V X j l t v x z | õǞǘǞ~~wDž 5\aJo( h)e}aJo( 5aJo( 5\aJaJaJo( h)e}aJ5B*KHaJphB*KH\aJo(phh)e}B*KH\aJphh)e}5B*KHaJo(ph5CJ\aJo(5CJOJPJQJ^JaJo(%j5B*CJOJQJUaJph. 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