1061_KERNEL-BASED MACHINE LEARNING
Registration:FromNow ~ Any Time
Course Period:FromNow ~ Any Time
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Course Intro

Course Plan

  • CSE680_ML_1_Introduction__KSML2017_EDAT
  • CSE680_ML_2_1.1_Introduction for Machine Learning__KSML2017_EDAT_20170910
  • CSE680_ML_3_1.2_Learning to Answer Yes or No__KSML20170910
  • CSE680_ML_Lect10_Neural Networks
  • CSE680_ML_Lect11_Overfitting
  • CSE680_ML_Lect12_Regularization
  • CSE680_ML_Lect13_Validation
  • CSE680_ML_Lect14_Support Vector Machine
  • CSE680_ML_Lect15_Kernel Methods
  • CSE680_ML_Lect16_Radial Basis Function
  • CSE680_ML_Lect17_Three Learning Principles
  • CSE680_ML_Lect18_Epilogue
  • CSE680_ML_Lect3_The Linear Model I
  • CSE680_ML_Lect4_Error and Noise
  • CSE680_ML_Lect5_Training versus Testing
  • CSE680_ML_Lect6_Theory of Generalization
  • CSE680_ML_Lect7_The VC Dimension
  • CSE680_ML_Lect8_Bias-Varian Tradeoff
  • CSE680_ML_Lect9_Linear Model II
Co-Instructor(s)
李淑敏
Co-Instructor(s)
江勖豪

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