1061_KERNEL-BASED MACHINE LEARNING
Registration:FromNow ~ Any Time
Course Period:FromNow ~ Any Time
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
李淑敏
Co-Instructor(s)
江勖豪
江勖豪