Machine Learning Course 2023 Spring


Course Information
Syllabus and Course Schedule
Date Description Announcements Readings
February 27 Introduction to Machine Learning [slides][slides] [EXP1] [Template] [Due: March 2] Rademacher Complexity and VC-Dimension
March 3 Introduction to Machine Learning (continued) [slides]
March 6 Model Evaluation and Selection, Linear Model [slides][slides]
March 10 Linear Model (continued) [slides] Newton's Method & Gradient Descent
March 13 Linear Model (continued), Suppport Vector Machine [slides][slides] [EXP2] [dataset] [Template] [Due: March 27]
March 17 Suppport Vector Machine (continued) [slides] [理论作业1][Due: April 7] [Solutions] KKT conditions
March 20 Suppport Vector Machine (continued), Neural Networks [slides][slides]
March 24 Neural Networks (continued) [slides]
March 27 Neural Networks (continued) [slides]
March 31 Neural Networks (continued) [slides]
April 3 Neural Networks (continued) [slides] [EXP3] [data1] [data2] [data3] [Template] [Due: April 18]
April 7 Decision Tree [slides]
April 10 Decision Tree (continued) [slides]
April 14 Decision Tree (continued) [slides] [理论作业2][Due: May 4] [Solutions]
April 17 习题课
April 21 Bayesian Model [slides]
April 24 Bayesian Model (continued) [slides]
April 28 Bayesian Model (continued) [slides] [理论作业3][Due: May 18] [Solutions]
May 5 Ensemble Methods [slides]
May 8 Ensemble Methods (continued) [slides]
May 12 Ensemble Methods (continued) [slides]
May 15 Clustering [slides] [EXP4] [Template] [Due: May 29]
May 19 Clustering (continued) [slides]
May 22 Clustering (continued) [slides] Hierarchical Clustering
May 26 Clustering (continued) [slides]
May 29 习题课 [理论作业4][Due: June 16] [Solutions]
June 2 习题课
June 5 习题课
June 9 复习 & 答疑

* all announcement dates are tentative and subject to change


作业提交要求 （非常重要）
  • 作业上传地址：东大云盘（注意：请将作业上传到相应的目录）
  • 作业通过 zip 压缩包上传，压缩包和解压后文件夹名称均为：学号_姓名_1 （若重复提交，请修改后缀 2,3,...，助教将依据最大编号版本判分）
  • 理论课作业、实验课报告请务必使用 PDF 格式，不接受 WORD、图片等其它文件类型
  • 未按时提交的作业将自动扣除一定比例分数
  • 作业抄袭按 0 分计算