Coursera - Matrix Factorization and Advanced Techniques

[AD-TEAM]

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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