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Document 1
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Lecture1.1
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Part1: Basic Knowledge 6
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Lecture2.101 hour 02 min
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Lecture2.215 min
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Lecture2.312 min
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Lecture2.418 min
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Lecture2.501 hour 06 min
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Lecture2.637 min
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Part2: Theory: Multiple Regression 11
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Lecture3.101 hour 01 min
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Lecture3.227 min
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Lecture3.342 min
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Lecture3.401 hour 12 min
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Lecture3.537 min
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Lecture3.627 min
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Lecture3.721 min
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Lecture3.830 min
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Lecture3.952 min
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Lecture3.1002 min
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Lecture3.1115 min
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Part3: Logistic Regression 3
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Lecture4.120 min
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Lecture4.220 min
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Lecture4.340 min
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Part3: Multinomial Logistic Regression 9
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Lecture5.130 min
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Lecture5.231 min
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Lecture5.310 min
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Lecture5.410 min
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Lecture5.520 min
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Lecture5.638 min
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Lecture5.731 min
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Lecture5.820 min
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Lecture5.901 hour 02 min
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Part4: Neural Network 17
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Lecture6.140 min
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Lecture6.240 min
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Lecture6.301 hour 06 min
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Lecture6.414 min
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Lecture6.501 hour
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Lecture6.647 min
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Lecture6.701 hour
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Lecture6.801 hour 03 min
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Lecture6.932 min
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Lecture6.1056 min
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Lecture6.1101 hour
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Lecture6.1238 min
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Lecture6.1340 min
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Lecture6.1405 min
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Lecture6.1536 min
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Lecture6.1648 min
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Lecture6.1725 min
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Part5: RNN 13
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Lecture7.101 hour
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Lecture7.233 min
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Lecture7.350 min
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Lecture7.440 min
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Lecture7.511 min
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Lecture7.622 min
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Lecture7.735 min
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Lecture7.8
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Lecture7.940 min
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Lecture7.1054 min
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Lecture7.1101 hour 08 min
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Lecture7.1240 min
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Lecture7.1301 hour
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Part6: CNN 9
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Lecture8.110 min
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Lecture8.240 min
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Lecture8.350 min
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Lecture8.441 min
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Lecture8.524 min
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Lecture8.640 min
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Lecture8.754 min
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Lecture8.833 min
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Lecture8.956 min
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67. Neural Network : Improvement : Generalization
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