Coursera - Nearest Neighbor Collaborative Filtering

[AD-TEAM]

1.02 GB | 00:21:37 | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English

Files Included :
01 course-introduction (11.31 MB)
01 user-user-collaborative-filtering (49.63 MB)
02 configuring-user-user-collaborative-filtering (24.2 MB)
03 influence-limiting-and-attack-resistance-interview-with-paul-resnick (166.27 MB)
04 trust-based-recommendation-interview-with-jen-golbeck (71.18 MB)
05 impact-of-bad-ratings-interview-with-dan-cosley (74.4 MB)
01 assignment-introduction (21.32 MB)
02 programming-assignment-programming-user-user-collaborative-filtering (13.45 MB)
01 introduction-to-item-item-collaborative-filtering (35.88 MB)
02 item-item-algorithm (38.75 MB)
03 item-item-on-unary-data (14.46 MB)
04 item-item-hybrids-and-extensions (12.99 MB)
05 strengths-and-weaknesses-of-item-item-collaborative-filtering (20.54 MB)
06 interview-with-brad-miller (147.25 MB)
01 item-based-cf-assignment-intro-video (12.38 MB)
02 programming-assignment-programming-item-item-collaborative-filtering (13.71 MB)
01 the-cold-start-problem (48.44 MB)
02 recommending-for-groups-interview-with-anthony-jameson (70.6 MB)
03 threat-models (43.98 MB)
04 explanations (76.34 MB)
05 explanations-part-ii-interview-with-nava-tintarev (53.06 MB)

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