EECE5644-Machine_Learning
Graduate course on Machine Learning
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최종 버전 다운로드 (.zip)- EECE5644_2019Fall_Exam1Questions.pdf
- EECE5644_2019Fall_Homework1Questions.pdf
- EECE5644_2019Fall_Homework1Solutions.pdf
- EECE5644_2019Fall_Homework2Questions.pdf
- EECE5644_2019Fall_Homework2Solutions.pdf
- EECE5644_2019Fall_Homework2Solutions.zip
- generateData_Exam1Question1.m
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- EMforGMM.m
- evalGaussian.m
- ExpectedRiskMinimization.asv
- ExpectedRiskMinimization.m
- FisherLDA.m
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- KalmanFilter.m
- PCA.m
- randGaussian.m
- _readme.txt
- D02_ImportantPDFs.pdf
- D03_StatisticalDecisionTheory1.pdf
- D05_RandomSignals.pdf
- D07_DeterministicSignalsUnknownParameters.pdf
- D08_RandomSignalsUnknownParameters.pdf
- E02_MinimumVarianceUnbiasedEstimation.pdf
- E03_CramerRaoLowerBound.pdf
- E04_LinearModels.pdf
- E05_GeneralMinimumVarianceUnbiasedEstimation.pdf
- E06_BestLinearUnbiasedEstimators.pdf
- E07_MaximumLikelihoodEstimation.pdf
- E08_LeastSquares.pdf
- E09_MethodofMoments.pdf
- E10_TheBayesianPhilosophy.pdf
- E11_GeneralBayesianEstimators.pdf
- E15_Extensions4ComplexData_Parameters.pdf
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- L00_Sup_Closas_LinearAlgebra_UPC_2005_ThisIsForAnEntireCourse_CourtesyOfProfPauClosas.pdf
- L01_ProbabilityAndLinearAlgebraReview.pdf
- L01_Sup_TheMatrixCookbook_v20121115.pdf
- L02_ProbabilityReview.pdf
- L03_Sup_NumericalOptimization_ThisIsForAnEntireCourse_WeWillReferToItWhenReviewingOptimizationMethods.pdf
- L04a_PrincipalComponentAnalysis.pdf
- L04b_FisherLDA.pdf
- L10_SupA_Borman_EMalgorithmShortTutorial_2004.pdf
- L10_SupB_Bilmes_TutorialEMalgorithmApplication2GMM_HMM_1998.pdf
- L11_RecursiveBayesianStateEstimation.pdf
- L11_SupA_KalmanFilterDerivation.pdf
- L11_SupB_Arulampalam_TutorialonParticleFilters_TSP_2002.pdf
- Syllabus_v20190917.pdf
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- Code.zip
- EECE5644_2019Fall_Exam1Questions.pdf
- Q1.html
- Q1.ipynb
- Q1.pdf
- Q2.ipynb
- Q3.ipynb
- sol_q1.pdf
- sol_q2.pdf
- sol_q3.pdf
- solution.md
- solution.pdf
- EECE5644_2019Fall_Exam2Questions.pdf
- final.ipynb
- solution.html
- solution.html.zip
- solution.ipynb
- solution.pdf
- Question 3-checkpoint.ipynb
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- EECE5644_2019Fall_Homework1Questions.pdf
- ML Homework 1.zip
- ML_Homework_1.pdf
- Question 2.ipynb
- Question 3.ipynb
- Question 4.ipynb
- Question 5.ipynb
- testing.ipynb
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- EECE5644_2019Fall_Homework2Questions.pdf
- notes.md
- Q2.ipynb
- Q3.ipynb
- solution.md
- solution.pdf
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- EECE5644_2019Fall_Homework3Questions.pdf
- HW3 Solution.html
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- HW3 Solution.pdf
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- Q2.ipynb
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- EECE5644_2019Fall_Homework4Questions.pdf
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- EECE5644_2019Fall_Homework4Questions_42049_colorBird.jpg
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- L13.eml
- solution-Copy2.ipynb
- solution-Copy3.ipynb
- solution-linear.ipynb
- solution-main.ipynb
- solution.ipynb
- cs229-linalg.pdf
- L00_Sup_Closas_LinearAlgebra_UPC_2005_ThisIsForAnEntireCourse_CourtesyOfProfPauClosas.pdf
- L01_Sup_TheMatrixCookbook_v20121115.pdf
- L1.md
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- 13c.EM-algorithm.pdf
- cs229-notes7a_kmeans.pdf
- cs229-notes7b_GMM_EM.pdf
- cs229-notes8_EM.pdf
- cs229-notes9_Factor_analysis.pdf
- L10.md
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- cs229-prob-slide_redundant.pdf
- cs229-prob.pdf
- cs229_gaussians.pdf
- cs229_more_on_gaussians.pdf
- gaussian.ipynb
- L01_ProbabilityAndLinearAlgebraReview.pdf
- L02_ProbabilityReview.pdf
- L2.md
- todo.md
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- boosting.pdf
- cs229-cvxopt.pdf
- cs229-cvxopt2.pdf
- cvx4ml.pdf
- L03_L04_Sup_NumericalOptimization_ThisIsForAnEntireCourse_WeWillReferToItWhenReviewingOptimizationMethods.pdf
- L3.md
- Numerical_Optimization.pdf
- section_convex_optimization2.ps
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- new.jpg
- cs229-notes10_pca.pdf
- L4.md
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- L5.md
- yourscanfromsnelllibrary.zip
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- L6.md
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- L7.md
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- L8.md
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- L9.md
- notes.md
- cs229-notes3.pdf
- notes.md
- SmoSch04_tutorial2.pdf
- svmtutorial.pdf
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- notes.md
- f257525d938e8d0567a475df7106e1edc707.pdf
- cs229-notes1.pdf
- cs229-notes2.pdf
- cs229-notes4.pdf
- cs229-notes5_Regularization_model_selection.pdf
- cs229_BiasVarianceAnalysis.pdf
- cs229_gaussian_processes.pdf
- cs229_Lagrangian_exponential_family.pdf
- error-analysis.pdf
- .gitignore
- 01311138_ModelOrderSelection_Stoica.pdf
- cs229-notes11_ica.pdf
- David Barber - Bayesian Reasoning and Machine Learning.pdf
- gen.py
- Handout.pdf
- Kevin Murphy - Machine Learning Probabilistic Perspective.pdf
- README.md
- Richard O. Duda, Peter E. Hart, David G. Stork - Pattern classification (2001, Wiley).pdf
- S01_SupA_Borman_EMalgorithmShortTutorial_2004.pdf
- S02_SupB_Bilmes_TutorialEMalgorithmApplication2GMM_HMM_1998.pdf
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