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homework/final.pdf
173.48KB
homework/final_sol.pdf
69.78KB
homework/hw1_sol.pdf
70.43KB
homework/hw2_sol.pdf
70.45KB
homework/hw3_sol.pdf
70.49KB
homework/hw4_sol.pdf
70.45KB
homework/hw5_sol.pdf
70.35KB
homework/hw6_sol.pdf
70.47KB
homework/hw7_sol.pdf
70.45KB
homework/hw8_sol.pdf
70.46KB
lectures/Lecture 01 - The Learning Problem-mbyG85GZ0PI.mp4
195.21MB
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lectures/Lecture 02 - Is Learning Feasible-MEG35RDD7RA.mp4
185.43MB
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lectures/Lecture 03 - The Linear Model I-FIbVs5GbBlQ.mp4
172.96MB
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lectures/Lecture 04 - Error and Noise-L_0efNkdGMc.mp4
143.75MB
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lectures/Lecture 05 - Training Versus Testing-SEYAnnLazMU.mp4
184.7MB
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lectures/Lecture 06 - Theory of Generalization-6FWRijsmLtE.mp4
171.54MB
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lectures/Lecture 07 - The VC Dimension-Dc0sr0kdBVI.mp4
160.91MB
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lectures/Lecture 08 - Bias-Variance Tradeoff-zrEyxfl2-a8.mp4
171.94MB
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lectures/Lecture 09 - The Linear Model II-qSTHZvN8hzs.mp4
202.82MB
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lectures/Lecture 10 - Neural Networks-Ih5Mr93E-2c.mp4
172.89MB
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lectures/Lecture 11 - Overfitting-EQWr3GGCdzw.mp4
188.3MB
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lectures/Lecture 12 - Regularization-I-VfYXzC5ro.mp4
167.25MB
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lectures/Lecture 13 - Validation-o7zzaKd0Lkk.mp4
203.36MB
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lectures/Lecture 14 - Support Vector Machines-eHsErlPJWUU.mp4
168.91MB
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lectures/Lecture 15 - Kernel Methods-XUj5JbQihlU.mp4
183.17MB
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lectures/Lecture 16 - Radial Basis Functions-O8CfrnOPtLc.mp4
182.77MB
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lectures/Lecture 17 - Three Learning Principles-EZBUDG12Nr0.mp4
162.2MB
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lectures/Lecture 18 - Epilogue-ihLwJPHkMRY.mp4
172.49MB
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slides/slides01.pdf
299.58KB
slides/slides02.pdf
521.35KB
slides/slides03.pdf
1.07MB
slides/slides04.pdf
991.64KB
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504.89KB
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302.31KB
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416.19KB
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372.74KB
slides/slides09.pdf
857.54KB
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398.8KB
slides/slides11.pdf
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slides/slides12.pdf
636.64KB
slides/slides13.pdf
746.95KB
slides/slides14.pdf
248.79KB
slides/slides15.pdf
479.13KB
slides/slides16.pdf
507.43KB
slides/slides17.pdf
857.91KB
slides/slides18.pdf
250.86KB
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