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Coursera - Matrix Factorization and Advanced Techniques - AD-TEAM - 08-30-2024 1000.85 MB | 00:16:01 | mp4 | 1280X720 | 16:9 Genre:eLearning |Language:English
Files Included :
01 matrix-factorization-and-advanced-techniques (14.89 MB) 01 introduction-to-matrix-factorization-and-dimensionality-reduction (34.1 MB) 02 singular-value-decomposition (46.42 MB) 03 gradient-descent-techniques (46.56 MB) 05 deriving-funksvd (20.19 MB) 06 probabilistic-matrix-factorization (23.17 MB) 01 assignment-introduction (24.69 MB) 02 programming-matrix-factorization (20.95 MB) 01 hybrid-recommenders (26.61 MB) 02 hybrids-with-robin-burke (107.61 MB) 03 hybridization-through-matrix-factorization (43.72 MB) 04 matrix-factorization-hybrids-with-george-karypis (36.78 MB) 05 interview-with-arindam-banerjee (33.17 MB) 06 interview-with-yehuda-koren (81.62 MB) 01 learning-recommenders (32.99 MB) 02 learning-to-rank-interview-with-xavier-amatriain (153.07 KB) 03 personalized-ranking-with-daniel-kluver (32.89 MB) 01 context-aware-recommendation-i-interview-with-francesco-ricci (66.86 MB) 02 context-aware-recommendation-ii-interview-with-bamshad-mobasher-part-1 (41.49 MB) 03 context-aware-recommendation-ii-interview-with-bamshad-mobasher-part-2 (39.73 MB) 04 industry-practical-issues-inteview-with-anmol-bhasin (82.05 MB) 05 recommending-music-interview-with-paul-lamere (85.31 MB) 06 specialization-wrap-up (12.95 MB) 02 programming-hybrids-learning-to-rank (25.2 MB)
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